where do information research scientist work

What does a computer and information research scientist do?

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What is a Computer and Information Research Scientist?

Computer and information research scientists conduct advanced research and studies in the field of computer science, information technology, and related areas. They explore new possibilities in computer hardware and software, algorithms, data analysis, artificial intelligence, and other emerging technologies. They may specialize in areas such as machine learning, cybersecurity, data mining, computer graphics, or networking.

Computer and information research scientists publish research papers, present at conferences, and contribute to the scientific community's knowledge and understanding of computer science. Their research findings and discoveries contribute to the development of new products, technologies, and applications that can impact various industries, such as healthcare, finance, communications, and entertainment.

What does a Computer and Information Research Scientist do?

Computer and information research scientists play an important role in driving technological innovation and shaping the future of computing by exploring new frontiers, solving complex problems, and advancing the field through their research efforts.

Duties and Responsibilities Here are some common responsibilities associated with the role of a computer and information research scientist:

• Research and Experimentation: Conducting advanced research and experimentation to explore new ideas, technologies, and approaches within the field of computer science. This involves formulating research questions, designing experiments, collecting and analyzing data, and drawing conclusions based on the results.
• Technology Development: Developing new technologies, algorithms, models, or software solutions to address complex problems and push the boundaries of computer science. This includes designing innovative systems, architectures, or methodologies that can improve computer performance, efficiency, security, or user experience.
• Data Analysis and Modeling: Analyzing large datasets, applying statistical techniques, and developing models to gain insights, predict trends, or solve specific problems. This involves utilizing techniques such as machine learning, data mining, or data visualization to extract meaningful information and make informed decisions.
• Software and Algorithm Design: Designing and developing software applications, algorithms, or programming languages that enable new functionalities or solve specific computational challenges. This includes writing code, debugging, testing, and optimizing software to ensure its efficiency, reliability, and scalability.
• Collaboration and Communication: Collaborating with other researchers, engineers, and professionals in interdisciplinary teams to exchange ideas, share knowledge, and work towards common goals. Effective communication skills are essential for presenting research findings, writing scientific papers, and delivering presentations at conferences or seminars.
• Technology Evaluation and Assessment: Evaluating existing technologies, systems, or methodologies to identify their strengths, weaknesses, and potential improvements. This involves staying abreast of the latest advancements in the field, assessing their relevance, and providing recommendations for their implementation or refinement.
• Project Management: Planning, organizing, and managing research projects, including setting objectives, allocating resources, and ensuring timely completion of tasks. This may involve supervising and mentoring junior researchers, coordinating collaborations with external partners, and overseeing the overall progress of the project.
• Publication and Knowledge Sharing: Publishing research findings in academic journals, presenting at conferences, and contributing to the scientific community's knowledge base. This includes writing research papers, participating in peer reviews, and staying actively engaged in professional networks and forums.
• Ethical Considerations: Adhering to ethical guidelines and principles in research, particularly when working with sensitive data, artificial intelligence, or human subjects. Ensuring that research practices comply with legal and ethical standards is crucial for maintaining integrity and accountability in the field.

Types of Computer and Information Research Scientists Here are some common types of computer and information research scientists based on their specializations:

• Artificial Intelligence (AI) Research Scientist: Specializes in the development and advancement of AI technologies, including machine learning, natural language processing, computer vision, and robotics. They focus on creating intelligent systems that can learn, reason, and perform tasks autonomously.
• Data Scientist : Focuses on analyzing and interpreting large datasets to extract insights, identify patterns, and make data-driven decisions. They utilize statistical and computational techniques, as well as machine learning algorithms, to uncover meaningful information from complex data.
• Network Research Scientist: Specializes in the design, development, and optimization of computer networks. They focus on areas such as network protocols, network security, network performance analysis, and the development of innovative networking technologies.
• Security Research Scientist: Concentrates on researching and developing techniques to protect computer systems, networks, and data from cyber threats. They work on areas such as cryptography, secure software development, intrusion detection, vulnerability analysis, and security protocols.
• Human-Computer Interaction (HCI) Research Scientist: Studies the interaction between humans and computer systems, with a focus on improving user experience, usability, and accessibility. They investigate user behavior, design intuitive interfaces, and develop interactive technologies that better meet users' needs.
• Computer Graphics and Visualization Research Scientist: Specializes in the development and enhancement of computer graphics algorithms, 3D modeling, virtual reality, augmented reality, and data visualization techniques. They work on creating visually compelling and interactive computer-generated imagery.
• Software Engineering Research Scientist: Concentrates on advancing software development methodologies, tools, and practices. They research software architecture, software testing, software quality assurance, and other areas to improve the efficiency, reliability, and maintainability of software systems.
• Natural Language Processing (NLP) Research Scientist: Focuses on understanding and processing human language by computers. They work on tasks such as machine translation, sentiment analysis, information retrieval, and automated speech recognition to enable computers to understand and generate human language.
• Quantum Computing Research Scientist: Specializes in the field of quantum computing, which involves developing algorithms, designing quantum circuits, and exploring the potential applications of quantum technologies. They work on harnessing the power of quantum mechanics to solve complex computational problems.

Are you suited to be a computer and information research scientist?

Computer and information research scientists have distinct personalities . They tend to be investigative individuals, which means they’re intellectual, introspective, and inquisitive. They are curious, methodical, rational, analytical, and logical. Some of them are also artistic, meaning they’re creative, intuitive, sensitive, articulate, and expressive.

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What is the workplace of a Computer and Information Research Scientist like?

The workplace of a computer and information research scientist can vary depending on their specific role, employer, and area of specialization. Generally, they work in environments that foster research, innovation, and collaboration. Here is a description of the typical workplaces for these professionals:

Research Laboratories: Many computer and information research scientists work in research laboratories, either in academic institutions or private companies. These labs provide a dedicated space for conducting experiments, developing prototypes, and analyzing data. Research laboratories are equipped with advanced computer systems, high-performance servers, specialized software, and cutting-edge research tools to support their work.

Academic Institutions: Research scientists in computer and information science often work in universities or research institutes. They may be affiliated with a particular department or research center within the institution. Academic environments provide access to extensive research resources, such as libraries, research grants, and collaborations with other faculty members and students.

Industrial Research and Development (R&D) Centers: Many large technology companies have dedicated R&D centers where computer and information research scientists work on developing new technologies, software, or hardware products. These centers provide a stimulating and innovative environment with access to state-of-the-art facilities, collaborative teams, and resources for bringing research ideas to practical applications.

Government Research Agencies: Some computer and information research scientists work in government research agencies, such as national laboratories or defense research organizations. These agencies focus on research and development in areas of national interest, including cybersecurity, data analysis, information assurance, and emerging technologies. Government research agencies often collaborate with academia and industry on projects of strategic importance.

Collaboration and Fieldwork: Depending on their research focus, computer and information research scientists may engage in collaborative projects with other researchers, industry partners, or government agencies. This can involve fieldwork, where they collect data or conduct experiments in real-world settings. For example, researchers studying human-computer interaction may conduct user studies in various environments to gather data and evaluate the usability of systems.

Conferences and Workshops: Research scientists often attend conferences, workshops, and seminars relevant to their areas of expertise. These events provide opportunities to present research findings, exchange ideas, and network with other professionals in the field. Presenting research at conferences enables scientists to receive feedback, gain exposure, and stay updated with the latest developments in their areas of research.

Collaboration Tools and Remote Work: With advancements in communication technology, computer and information research scientists may also work remotely or utilize collaboration tools to work with colleagues from different locations. Remote work and virtual collaboration platforms allow for global collaboration, enabling scientists to collaborate with experts from around the world and exchange ideas without physical constraints.

Computer and Information Research Scientists are also known as: Computer Research Scientist

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• Computer and Information Research Scientists: Jobs, Career, Salary and Education Information

Computer and Information Research Scientists

Career, salary and education information.

What They Do : Computer and information research scientists invent and design new approaches to computing technology and find innovative uses for existing technology.

Work Environment : Most computer and information research scientists work full time. Some work more than 40 hours per week.

How to Become One : Most jobs for computer and information research scientists require a master’s degree in computer science or a related field. In the federal government, a bachelor’s degree may be sufficient for some jobs.

Salary : The median annual wage for computer and information research scientists is $131,490.

Job Outlook : Employment of computer and information research scientists is projected to grow 21 percent over the next ten years, much faster than the average for all occupations.

Related Careers : Compare the job duties, education, job growth, and pay of computer and information research scientists with similar occupations.

Following is everything you need to know about a career as a computer or information research scientist with lots of details. As a first step, take a look at some of the following jobs, which are real jobs with real employers. You will be able to see the very real job career requirements for employers who are actively hiring. The link will open in a new tab so that you can come back to this page to continue reading about the career:

Top 3 Computer Scientist Jobs

JOB SUMMARY -- ESSENTIAL FUNCTIONS/DUTIES Under general supervision, a Computer Scientist II provides software and systems engineering services, generally as a member of a work unit or group

Instructor I or II - Computer Science Montana Technological University provides a comprehensive benefits package for all eligible positions that includes health, dental and vision insurance ...

As a Research Scientist , other responsibilities may include: Conducting scientific experiments ... Degree must be in Computer Science (CS) or Computer Engineering (CE). Other STEM fields (e.g ...

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Top 3 Information Research Scientist Jobs

As a Research Scientist , other responsibilities may include: Conducting scientific experiments ... Other STEM fields (e.g., Engineering, Mathematics, or Information Systems (IS)) may be considered ...

Research Scientist Job statement: The Research Scientist 's role is to develop novel molecular ... Identify and synthesize key information from internal and external knowledge bases to take charge ...

ObjectiveThe Assistant Research Scientist (ARS)/Associate Research Scientist (AsRS) is responsible ... Good interpersonal skills and ability to communicate information in a timely manner. * Comfort with ...

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What Computer and Information Research Scientists Do [ About this section ] [ To Top ]

Computer and information research scientists invent and design new approaches to computing technology and find innovative uses for existing technology. They study and solve complex problems in computing for business, science, medicine, and other fields.

Duties of Computer and Information Research Scientists

Computer and information research scientists typically do the following:

• Explore fundamental issues in computing and develop theories and models to address those issues
• Help scientists and engineers solve complex computing problems
• Invent new computing languages, tools, and methods to improve the way in which people work with computers
• Develop and improve the software systems that form the basis of the modern computing experience
• Design experiments to test the operation of these software systems
• Analyze the results of their experiments
• Publish their findings in academic journals and present their findings at conferences

Computer and information research scientists create and improve computer software and hardware.

Creating and improving software involves working with algorithms, which are sets of instructions that tell a computer what to do. Some computing tasks are very difficult and require complex algorithms. Computer and information research scientists try to simplify these algorithms to make computer systems as efficient as possible. The algorithms allow advancements in many types of technology, such as machine learning systems and cloud computing.

Computer and information research scientists design new computer architecture that improves the performance and efficiency of computer hardware. Their work often leads to technological advancements and efficiencies, such as better networking technology, faster computing speeds, and improved information security. In general, computer and information research scientists work at a more theoretical level than do other computer professionals.

Some computer scientists work with electrical engineers , computer hardware engineers , and other specialists on multidisciplinary projects. The following are examples of types of specialties for computer and information research scientists:

Data science. Computer and information research scientists write algorithms that are used to detect and analyze patterns in very large datasets. They improve ways to sort, manage, and display data. Computer scientists build algorithms into software packages that make the data easier for analysts to use. For example, they may create an algorithm to analyze a very large set of medical data in order to find new ways to treat diseases. They may also look for patterns in traffic data to help clear accidents faster.

Robotics . Some computer and information research scientists study how to improve robots. Robotics explores how a machine can interact with the physical world. Computer and information research scientists create the programs that control the robots. They work closely with engineers who focus on the hardware design of robots. Together, these workers test how well the robots do the tasks they were created to do, such as assemble cars or collect data on other planets.

Programming . Computer and information research scientists design new programming languages that are used to write software. The new languages make software writing more efficient by improving an existing language, such as Java, or by making a specific aspect of programming, such as image processing, easier.

Work Environment for Computer and Information Research Scientists [ About this section ] [ To Top ]

Computer and information research scientists hold about 33,500 jobs. The largest employers of computer and information research scientists are as follows:

Some scientists collaborate with engineers or other specialists or research scientists in different locations and do much of their work online.

Computer and Information Research Scientist Work Schedules

Most computer and information research scientists work full time.

How to Become a Computer or Information Research Scientist [ About this section ] [ To Top ]

Get the education you need: Find schools for Computer and Information Research Scientists near you!

Most jobs for computer and information research scientists require a master's degree in computer science or a related field. In the federal government, a bachelor's degree may be sufficient for some jobs.

Education for Computer and Information Research Scientists

Most computer and information research scientists need a master's degree in computer science or a related field, such as computer engineering. A master's degree usually requires 2 to 3 years of study after earning a bachelor's degree in a computer-related field, such as computer science or information systems.

Computer scientists who work in a specialized field may need knowledge of that field. For example, those working on biomedical applications may need to have taken some biology classes.

Advancement for Computer and Information Research Scientists

Some computer scientists may become computer and information systems managers .

Important Qualities for Computer and Information Research Scientists

Analytical skills. Computer and information research scientists must be organized in their thinking and analyze the results of their research to formulate conclusions.

Communication skills. Computer and information research scientists must communicate well with programmers and managers and be able to clearly explain their conclusions to people with no technical background. They often present their research at conferences.

Critical-thinking skills. Computer and information research scientists work on many complex problems.

Detail oriented. Computer and information research scientists must pay close attention to their work, because a small programming error can cause an entire project to fail.

Ingenuity. Computer and information research scientists must continually come up with innovative ways to solve problems, particularly when their ideas do not initially work as intended.

Logical thinking. Computer algorithms rely on logic. Computer and information research scientists must have a talent for reasoning.

Math skills. Computer and information research scientists must have knowledge of advanced math and other technical topics that are critical in computing.

Computer and Information Research Scientist Salaries [ About this section ] [ More salary/earnings info ] [ To Top ]

The median annual wage for computer and information research scientists is $131,490. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $74,210, and the highest 10 percent earned more than $208,000.

The median annual wages for computer and information research scientists in the top industries in which they work are as follows:

Job Outlook for Computer and Information Research Scientists [ About this section ] [ To Top ]

Employment of computer and information research scientists is projected to grow 21 percent over the next ten years, much faster than the average for all occupations.

About 3,300 openings for computer and information research scientists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire.

Employment of Computer and Information Research Scientists

The research and development conducted by computer and information research scientists turn ideas into technology. As demand for new and better technology grows, demand for computer and information research scientists will grow as well.

Rapid growth in data collection by businesses will lead to an increased need for data-mining services. Computer and information research scientists will be needed to write algorithms that help businesses make sense of very large amounts of data.

A growing emphasis on cybersecurity also should lead to new jobs because computer and information research scientists will be needed to find innovative ways to prevent potential cyberattacks. In addition, an increase in demand for software may increase the need for computer and information research scientists who create new programming languages to make software writing more efficient.

Careers Related to Computer and Information Research Scientists [ About this section ] [ To Top ]

Computer and information systems managers.

Computer and information systems managers, often called information technology (IT) managers or IT project managers, plan, coordinate, and direct computer-related activities in an organization. They help determine the information technology goals of an organization and are responsible for implementing computer systems to meet those goals.

Computer Hardware Engineers

Computer hardware engineers research, design, develop, and test computer systems and components such as processors, circuit boards, memory devices, networks, and routers.

Computer Network Architects

Computer network architects design and build data communication networks, including local area networks (LANs), wide area networks (WANs), and Intranets. These networks range from small connections between two offices to next-generation networking capabilities such as a cloud infrastructure that serves multiple customers.

Computer Programmers

Computer programmers write and test code that allows computer applications and software programs to function properly. They turn the program designs created by software developers and engineers into instructions that a computer can follow.

Computer Systems Analysts

Computer systems analysts, sometimes called systems architects, study an organization's current computer systems and procedures, and design solutions to help the organization operate more efficiently and effectively. They bring business and information technology (IT) together by understanding the needs and limitations of both.

Database Administrators

Database administrators (DBAs) use specialized software to store and organize data, such as financial information and customer shipping records. They make sure that data are available to users and secure from unauthorized access.

Data Scientists

Data scientists use analytical tools and techniques to extract meaningful insights from data.

Information Security Analysts

Information security analysts plan and carry out security measures to protect an organization's computer networks and systems. Their responsibilities are continually expanding as the number of cyberattacks increases.

Network and Computer Systems Administrators

Computer networks are critical parts of almost every organization. Network and computer systems administrators are responsible for the day-to-day operation of these networks.

Software Developers

Software developers are the creative minds behind computer programs. Some develop the applications that allow people to do specific tasks on a computer or another device. Others develop the underlying systems that run the devices or that control networks.

Web Developers

Web developers design and create websites. They are responsible for the look of the site. They are also responsible for the site's technical aspects, such as its performance and capacity, which are measures of a website's speed and how much traffic the site can handle. In addition, web developers may create content for the site.

Top Executives

Top executives devise strategies and policies to ensure that an organization meets its goals. They plan, direct, and coordinate operational activities of companies and organizations.

More Computer and Information Research Scientist Information [ About this section ] [ To Top ]

For more information about computer and information research scientists, visit

Association for Computing Machinery

IEEE Computer Society

For information about opportunities for women pursuing information technology careers, visit

National Center for Women & Information Technology

A portion of the information on this page is used by permission of the U.S. Department of Labor.

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How to Become a Computer and Information Research Scientist

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• Computer and information research scientists improve our technological abilities.
• These professionals typically need a master's degree and several years of experience.
• Aspiring research scientists often study programming, computer science, or engineering.
• The career outlook is strong, featuring higher-than-average wages and projected growth.

Computer and information research scientists revamp the way we use our computers. They experiment with algorithms and programming languages to develop new software that makes our lives easier.

If this sounds like a career you'd be interested in, read on to learn how to become a computer and information research scientist.

What Is a Computer and Information Research Scientist?

Computer and information research scientists solve problems through new computing methods, technologies, and applications. They identify and investigate issues individuals, organizations, and industries face and develop and test solutions to overcome them. They seek out ways to increase performance, effectiveness, and efficiency via computers.

Their innovations may include new programming languages, hardware, or software. They also find new ways of using current technologies, such as applying them to a new industry or upgrading or repurposing them. Computer and information research scientists also test and analyze their innovations' performance.

What Are Some Key Computer and Information Research Scientist Skills?

• Computer programming, systems, and applications
• Calculus, statistics, arithmetic, and other advanced mathematics disciplines
• Analytical and deductive reasoning
• Data mining and analytics
• Engineering, computer science, and telecommunications
• Computer design and management
• Communication and reporting
• Organization and categorization

To become a computer and information research scientist, you need a mix of education, skills, and experience. The following steps can help you enter the field via the most direct path.

Step 1: Learn Programming Languages

Computer and information research scientists need a strong grasp of multiple programming languages. Learning coding can start anytime and may include languages such as:

These languages cover mobile and web applications, web development, and database access.

With a foundation in one or several of these languages, you may find the introductory stages of your bachelor's program easier. Programming skills may also help in other classes or even with the application process. In addition to learning coding expertise, focus on building good programming habits and following the best practices.

Step 2: Earn a Bachelor's Degree

Computer and information research scientists need a bachelor's degree. These professionals usually earn a computer-related degree, such as computer science or computer engineering.

Computer and information research scientists learn:

• Programming fundamentals
• Problem-solving
• Computing theory
• Development

Step 3: Gain Some Job Experience

Many organizations prefer computer and information research scientists with more than five years of experience. You can build experience in many ways, including through internships and entry-level positions. Any job that introduces the design and development process, troubleshooting and technical issues, and computer support carries value.

You can pursue work in data analysis or computer systems and network administration. Professional experience informs many of the innovations and developments computer and information research scientists study.

Step 3: Get Certified

While computer and information research scientist careers don't need certifications, these credentials can help you promote your expertise and land your dream job. Certifications validate your experience and knowledge and can give you an edge in the job market. Some helpful certifications include:

• Microsoft's Azure data scientist associate
• Institute for the Certification of Computing Professionals' ( ICCP ) certified computer scientist
• ICCP's certified data professional

The requirements to earn certifications vary, but they usually include a holding degree, having multiple years of experience, and passing an exam.

Step 4: Get a Master's Degree

Most computer and information research scientist positions require a master's degree at a minimum. Professionals in this field hold degrees in computer science, data science, computer engineering, and other computer-related areas.

These programs cover advanced topics in systems operations and management, programming, and design and development. They also provide research, analytical, and leadership skills.

At the master's level, you can usually specialize your studies in a computer subfield, such as software development, artificial intelligence, or databases. Specializations can improve your expertise and chances of getting a job in those fields.

Step 5: Start Applying for Computer and Information Research Scientist Jobs

After gaining the right education, experience, and credentials, prospective computer and information research scientists can start job searching. To best prepare for this step, refine and update your resume. You should also ensure you have a portfolio that showcases relevant and diverse projects.

Additional prep might include filling out social media and networking site profiles. Joining professional associations can also provide aspiring computer and information research scientists with access to valuable networks and job assistance.

How to Find Computer and Information Research Scientist Jobs

To find a computer and information research scientist job, you may follow leads from your professional network or association. Or, you may earn a full-time position from an internship employer. You can also send in job applications through major job boards, attend career fairs, or find a position with the help of your school's career services department.

Fortunately, the career outlook for these professionals looks strong. The Bureau of Labor Statistics ( BLS ) projects a 21% growth for computer and information research scientists from 2021-2031. This growth is over four times faster than the projected growth rate of 5% for all occupations.

What's the Average Computer and Information Research Scientist's Salary?

According to the BLS , the median annual salary for computer and information research scientists was $131,490 in May 2021. That works out to over $85,000 more than the median annual wage for all occupations. The top 10% of earners in the field made more than $208,000 annually.

Location also impacts your earnings, as per the BLS . In Oregon, the highest-paying state for these professionals, the mean annual wage was $166,450 in May 2021. In Louisiana — the lowest-paying state — the mean annual wage was $75,600.

Frequently Asked Questions About Becoming a Computer and Information Research Scientist

What do computer and information research scientists do.

Computer and information research scientists innovate the computing field. They design and develop new technologies, find new applications for current technologies, and look for computing solutions for people and organizations.

These professionals work with computer software and hardware, data analytics, artificial intelligence, and robotics. They may also specialize in certain industries or organizations. Computer and information research scientists perform a lot of research, testing, and reporting for their innovations.

How long does it take to become a computer and information research scientist?

Computer and information research scientists typically need a master's degree and computing experience to enter the profession. The length of time required to earn these credentials varies.

A bachelor's degree takes about four years to complete, and a master's degree takes about two years. Many organizations require a minimum of 3-5 years of experience or more.

Where does a computer research scientist work?

Computer and information research scientists can apply their skills to most computer occupations. According to the BLS , however, the federal government employs the largest workforce in this field. The next largest employment industries include computer systems design services and physical, engineering, and life sciences research.

Professionals looking for the highest wages may pursue careers in industries like information services, electronic component manufacturing, and controls instrument manufacturing.

Is computer science a good career?

Yes. Professionals trained in computer science can access a wealth of opportunities in computing. Those pursuing computer and information research scientist careers enjoy nearly triple the average wage and more than four times the average growth rate, as per the BLS .

This field also greatly contributes to society, solving our biggest computing problems and improving our effectiveness and efficiency. These professionals impact our manufacturing, healthcare systems, finances, and businesses.

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Computer or Information Research Scientist

Computer and information research scientists design innovative uses for new and existing technology. They study and solve complex problems in computing for business, science, medicine, and other fields.

Computer and information research scientists typically do the following:

• Explore problems in computing and develop theories and models to address those problems
• Collaborate with scientists and engineers to solve complex computing problems
• Determine computing needs and system requirements
• Develop new computing languages, software systems, and other tools to improve how people work with computers
• Design and conduct experiments to test the operation of software systems, frequently using techniques from data science and machine learning
• Analyze the results of their experiments
• Write papers for publication and present research findings at conferences

Computer and information research scientists create and improve computer software and hardware.

To create and improve software, computer and information research scientists work with algorithms: sets of instructions that tell a computer what to do. Some difficult computing tasks require complex algorithms, which these scientists simplify to make computer systems as efficient as possible. These simplified algorithms may lead to advancements in many types of technology, such as machine learning systems and cloud computing.

To improve computer hardware, these scientists design computer architecture. Their work may result in increased efficiencies, such as better networking technology, faster computing speeds, and improved information security.

The following are examples of specialties for computer and information research scientists:

Programming.  Some computer and information research scientists study and design new programming languages that are used to write software. New languages make software writing efficient by improving an existing language, such as Java, or by simplifying a specific aspect of programming, such as image processing.

Robotics .  These scientists study the development and application of robots. They explore how a machine can interact with the physical world. For example, they may create systems that control the robots or design robots to have features such as information processing or sensory feedback.

Some computer and information research scientists work on multidisciplinary projects with electrical engineers, computer hardware engineers, and other specialists. For example, robotics specialists and engineers who design robots’ hardware may team up to test whether the robots complete tasks as intended.

Computer and information research scientists held about 33,500 jobs in 2021. The largest employers of computer and information research scientists were as follows:

Some scientists collaborate with engineers or other specialists or research scientists in different locations and do much of their work online.

Work Schedules

Most computer and information research scientists work full time.

Computer and information research scientists typically need at least a master’s degree in computer science or a related field. In the federal government, a bachelor’s degree may be sufficient for some jobs.

Computer and information research scientists typically need a master’s or higher degree in computer science or a related field, such as computer engineering. A master’s degree usually requires 2 to 3 years of study after earning a bachelor’s degree in a computer-related field, such as computer science or information systems. Some employers prefer to hire candidates who have a Ph.D. Others, such as the federal government, may hire candidates who have a bachelor’s degree in computer and information technology.

Computer and information research scientists who work in a specialized field may need knowledge of that field. For example, those working on biomedical applications may need to have studied biology.

Advancement

Some computer and information research scientists advance to become computer and information systems managers.

Computer and information research scientists typically have an interest in the Building, Thinking and Creating interest areas, according to the Holland Code framework. The Building interest area indicates a focus on working with tools and machines, and making or fixing practical things. The Thinking interest area indicates a focus on researching, investigating, and increasing the understanding of natural laws. The Creating interest area indicates a focus on being original and imaginative, and working with artistic media.

If you are not sure whether you have a Building or Thinking or Creating interest which might fit with a career as a computer and information research scientist, you can take a career test to measure your interests.

Computer and information research scientists should also possess the following specific qualities:

Analytical skills. Computer and information research scientists must be organized in their thinking and analyze the results of their research to formulate conclusions.

Communication skills. Computer and information research scientists must communicate well with programmers and managers and be able to clearly explain their conclusions to people with no technical background. They often write for academic journals and similar publications.

Critical-thinking skills. Computer and information research scientists work on many complex problems.

Detail oriented. Computer and information research scientists must pay close attention to their work, because a small error can cause an entire project to fail.

Ingenuity. Computer and information research scientists must continually come up with innovative ways to solve problems, particularly when their ideas do not initially work as intended.

Logical thinking . Computer algorithms rely on logic. Computer and information research scientists must have a talent for reasoning.

Math skills. Computer and information research scientists must have knowledge of advanced math and other technical topics that are critical in computing.

The median annual wage for computer and information research scientists was $131,490 in May 2021. The median wage is the wage at which half the workers in an occupation earned more than that amount and half earned less. The lowest 10 percent earned less than $74,210, and the highest 10 percent earned more than $208,000.

In May 2021, the median annual wages for computer and information research scientists in the top industries in which they worked were as follows:

Employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031, much faster than the average for all occupations.

About 3,300 openings for computer and information research scientists are projected each year, on average, over the decade. Many of those openings are expected to result from the need to replace workers who transfer to different occupations or exit the labor force, such as to retire. 

The research and development conducted by computer and information research scientists turn ideas into technology. As demand for new and better technology grows, demand for computer and information research scientists will grow as well.

Rapid growth in data collection by businesses will lead to an increased need for data-mining services. Computer and information research scientists will be needed to write algorithms that help businesses make sense of very large amounts of data.

A growing emphasis on cybersecurity also should lead to new jobs because computer and information research scientists will be needed to find innovative ways to prevent potential cyberattacks. In addition, an increase in demand for software may increase the need for computer and information research scientists who create new programming languages to make software writing more efficient.

For more information about computer and information research scientists, visit

Association for Computing Machinery

Computing Research Association

IEEE Computer Society

For information about opportunities for women pursuing information technology careers, visit

National Center for Women & Information Technology

To find job openings for computer and information research scientists in the federal government, visit 

Where does this information come from?

The career information above is taken from the Bureau of Labor Statistics Occupational Outlook Handbook . This excellent resource for occupational data is published by the U.S. Department of Labor every two years. Truity periodically updates our site with information from the BLS database.

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Day in the Life of a Computer Information Researcher

Holland Webb

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Updated November 4, 2022 · 4 Min Read

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Computer information researchers solve complex computer problems. They develop new computer science theories and even create programming languages. Some researchers also explore intricate topics such as human-computer interaction.

These professionals usually hold a master's degree or Ph.D. along with advanced logic, math, and analysis skills. The U.S. Bureau of Labor Statistics (BLS) projects that this profession will grow by 22% from 2020-2030.

The guide below describes a day in the life of a computer information researcher.

What Is a Computer Information Researcher?

A computer information researcher is a computer scientist who studies how people interact with computers. They may also help develop new ways to make computing more efficient or effective.

These professionals typically spend their days studying computer systems, computer users, and other aspects of human-computer interaction. They often design experiments to test various aspects of these interactions. After conducting their experiments, researchers record their data. They may create articles for peer-reviewed publications or present their findings at an industry conference.

Computer information researchers typically work with computer scientists and other professionals in related fields such as cognitive psychology, software engineering, and human-computer interaction design. They may take part in collaborative research efforts that span areas like cognitive science and artificial intelligence.

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What Does a Computer Information Researcher Do?

Computer information researchers explore how computer systems and software can support business decisions. They help businesses stay up to date on new technology and make informed decisions about which products to use.

A typical day for a computer information researcher might involve reading industry news, conducting online research, and writing reports. They may also attend conferences or meet with vendors to learn about new products.

Computer information researchers also perform challenging tasks like working with difficult data sets. They must stay ahead of industry trends so they can provide accurate analysis and advice.

See the list below for more detailed responsibilities.

Computer Information Researcher Responsibilities

• Design New Programming Languages : Computer information researchers study the languages software engineers use to write new programs. With what they learn, researchers may improve an existing language, simplify part of a language, or create a new language entirely. Researchers who work with quantum computers may devise languages that classical coders can use in quantum systems.
• Develop Robots and Robotic Systems : Some researchers focus on helping robots interact with humans and function more effectively. These professionals may design new robots that engage better with the material world, or they may create fresh systems that control existing robots.
• Improve Existing Products : Researchers work on teams that update computer products to improve performance for end users. In this role, they use software design and development theories and practices to solve complex design and inverse problems. Researchers need knowledge of coding, computational mechanics, numerical techniques, and computational geometry.
• Devise New Computer Analytics : Computer information researchers devise the analytics that determine a new product's success metrics. In this role, the researcher may work with software design team members and experts in machine learning, computer vision, and optics. They may also partner with universities or government agencies to deliver expertise on new concepts.
• Shape Market Strategies for New Products : Although not sales professionals, computer information researchers may help explain a new product's features and benefits to potential adopters. They also train sales and marketing team members about how the product aligns with consumer needs.

A Typical Day for a Computer Information Researcher

What does a typical day look like as a computer information researcher.

As a researcher, my days are spent either in ideation phase, execution phase, or evaluation phase. This means that I am either in meetings with colleagues drawing up a research plan, interfacing with participants executing that plan, or after the plan has been executed, looking at the data to assess if and how our research goals were met.

What other teams do you work with on a regular basis?

On a regular basis, I work with the collaborators of my research project. These collaborators differ based on the project phase we are in and it varies from researchers, to project managers, to the development team, to even founders of companies.

Do you work in an office or from home (or a hybrid)?

I currently work in a hybrid setup.

Is there a lot of collaboration in your role? Or is it mostly independent work?

It depends on the scope of the project. I have worked independently in the past. But it has become heavily collaborative in the past 3-4 years.

What's your favorite/most challenging part of the day?

The challenging part of the day involves socializing the research results that are relevant to a diverse audience. The audience may include individuals who have no idea what the project is but have a stake in the end product, so the report has to be simple and straightforward enough for them. The audience may also include people who have in-depth knowledge about the process and have been heavily involved. For them the report has to be thorough enough.

Aditi Paul is a professor and mixed-methods researcher based in New York City. She uses her multidisciplinary background in technology and relationship science to examine the impact of using human-centered technologies like social networking sites and online dating services. Aditi’s research has been published in top academic journals and has been featured in prominent media outlets such as The Washington Post, Women’s Health, The Telegraph UK, Huffington Post, and NBC News.

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Where Do Computer Information Researchers Work?

Most computer information researchers work in metropolitan areas like San Francisco, Seattle, and New York. These areas typically house the universities, technology firms, and research centers that hire computer scientists.

However, rural areas offer job opportunities as well. According to the BLS , some computer information researchers concentrate in nonmetropolitan parts of northeastern Virginia and southwest Mississippi.

Computer information researchers spend most of their day gathering and storing data on topics such as population growth and economic trends. They often conduct interviews with people who have an interest in the project they are working on. Researchers collect key data before an interview by reviewing previous questionnaires and articles about their topic.

Computer Information Researcher Questions

How long does it take to become a computer information researcher.

Most computer information researchers have at least a master's degree in computer science or a related field. However, some jobs may require a Ph.D. Many computer information researchers gain computer industry work experience before becoming researchers.

How much money do computer information researchers make?

According to the BLS , computer information researchers earned a median salary of $131,490 per year as of 2021. Researchers who work in computer design or software engineering can earn even more. This salary puts computer information researchers farther ahead financially than many other computer science experts.

Is it hard to be a computer information researcher ?

Computer information demands strong math, communication, and problem-solving skills. Many professionals in the field find their work interesting and enjoyable. A computer information researcher's job description might include conducting research on emerging technologies, writing reports on the findings, and presenting those findings to clients or employers.

What is a computer information researcher's day-to-day?

A computer information researcher's day-to-day involves conducting research on various topics related to computers and technology. They may also write reports or articles based on what they learn.

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Last Reviewed Date: July 28, 2022

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The Essential Guide to Becoming a Computer and Information Research Scientist

Picture yourself at the forefront of technological innovation, where your work in fields such as artificial intelligence, data mining, or quantum computing sets new industry standards. If you're drawn to the idea of breaking new ground in areas from neurobiology-based algorithms to advanced security solutions, a career as a Computer and Information Research Scientist (CIRS) could be your calling. In this role, you could be crafting the next generation of supercomputers, constructing smarter user interfaces, or developing systems for autonomous vehicles. In this guide, we'll steer you through the essentials of becoming a Computer and Information Research Scientist , highlighting the academic requirements, skill development, and perseverance needed to excel in this field and make a notable impact in the tech world.

Overview of a CIRS Role

Computer and Information Research Scientists work at the cutting edge of technological innovation. In their diverse roles, they apply their expertise in computer engineering , programming languages , computer software systems , and data science to address and solve a wide range of complex computing problems . Far from being limited to mere data analysis and algorithm development , these professionals also delve into modeling , simulation , and theoretical research . This multifaceted approach is crucial in shaping the future of computing technology .

These scientists are adept in machine learning , software development , and data analysis , skills that are essential for developing innovative solutions that drive advancements in technology. Their work often requires interdisciplinary collaboration, merging computing with fields like biology, finance, or education. Each project they undertake is unique, demanding a comprehensive skill set that goes beyond technical proficiency. Their expertise in statistics, mathematics, and domain-specific knowledge enables them to tackle challenges across various industries, from designing and implementing computer software and computer hardware solutions to developing sophisticated artificial intelligence applications and creating advanced data encryption methods .

In their collaborative roles, Computer and Information Research Scientists often work on projects that have significant societal impact. For instance, a CIRS might lead efforts in developing advanced algorithms for medical diagnostics, enhancing healthcare outcomes. They could also play a vital role in designing intelligent systems for environmental monitoring, contributing to sustainable computing solutions . Other examples of their work include enhancing cybersecurity measures, creating efficient data management systems, and pioneering novel computing methodologies. Their contributions often involve working alongside other researchers and stakeholders, as well as data scientists , information systems managers , software engineers , and network architects , to ensure that technological innovations meet both industry needs and societal expectations. Additionally, CIRSs must also navigate ethical considerations and understand the social impact of their work, especially in areas like data privacy and algorithmic bias .

In essence, a Computer and Information Research Scientist (CIRS) is not just a technologist but a visionary at the forefront of technological advancement. They significantly contribute to various industries, ensuring that society benefits from the latest in computing technology . Their role is a blend of technical expertise, creativity, collaboration, and an ongoing commitment to learning and innovation.

This dynamic position, therefore, requires more than just technical knowledge; it demands a constant pursuit of knowledge, creativity, and the ability to work collaboratively across various domains. As a CIRS, you're not just solving problems; you're creating a future where technology continues to enhance and redefine our world.

Educational Requirements

A bachelor's degree in a computer-related field is often the first step towards this career path ; however, Computer and Information Research Scientists typically earn at least a master's degree in computer science or a related field. This advanced education is crucial for developing the specialized knowledge and research skills that are key to success in this role. Fields like statistics, electrical engineering, or specialized areas such as bioinformatics can also provide valuable foundational knowledge, depending on one's area of specialization within computer and information research. However, alternative pathways do exist for exceptionally self-taught individuals with an impressive portfolio and significant practical experience, particularly in rapidly evolving areas of technology.

For those aiming at leading-edge research or academic positions, obtaining a Ph.D. is often beneficial, providing deeper theoretical understanding and the opportunity to engage in significant original research. Earning these higher degrees often leads to higher pay, more advanced positions, and greater opportunities for leadership roles within academia or a particular industry.

Alongside formal education, relevant work experience, including internships or research assistantships, a strong research portfolio, and relevant professional certifications are highly valued in this field. The best certification will depend on the individual's specific career goals, area of expertise, and the technological focus of their desired role within the field of computer and information research science. For example, those focusing on cybersecurity might prioritize CISSP or CISM, while those interested in data science would find more value in Google Cloud Certified Professional Data Engineer or Microsoft Certified Azure Data Scientist Associate. There are also new certifications in specializations such as ethical AI or quantum computing that may be worth pursuing for some career paths. Ultimately, it's essential to align certifications with one's career trajectory and the specific demands of the industry they intend to work in.

Finally, continuous learning is crucial in computer and information research science, as advancements in technology and research occur rapidly. Staying updated with the latest developments is essential to remain competitive and capable of contributing to the ever-evolving world of information research. This requires engaging in ongoing education, attending workshops and conferences, and staying abreast of industry trends and technological breakthroughs.

Developing Technical Skills

A critical aspect of becoming a successful Computer and Information Research Scientist is the continuous development of technical skills . Core competencies include proficiency in computer programming languages such as Python, R, or C++, and strong analytical skills and problem-solving skills, which are key to success in this field. These foundational skills enable CIRSs to effectively engage in varied areas of research and development.

Beyond these basics, CIRSs expand their expertise to include specialized tools and technologies. Skills in cloud computing platforms , machine learning frameworks like TensorFlow or PyTorch, and data analysis libraries such as pandas and scikit-learn are increasingly important. Skill sets can also vary based on the industry or area of specialization. For example, those specializing in artificial intelligence might heavily utilize machine learning frameworks, while a CIRS in computational biology may rely more on data analysis libraries and statistical tools. Knowledge of emerging areas such as quantum computing and explainable AI is also becoming valuable, offering a glimpse into the future of technology and its applications.

An understanding of cybersecurity and network architecture knowledge is vital in the digital age, particularly for CIRSs in fields requiring high data security and privacy standards. Similarly, domain-specific knowledge is essential for specialization in areas such as artificial intelligence, data science, or computational biology. For example, a CIRS in artificial intelligence might need to understand neural networks and deep learning techniques, while one in data science could become proficient in predictive modeling and big data technologies. In computational biology, expertise in bioinformatic algorithms and genome analysis is crucial. Meanwhile, a CIRS focusing on environmental science should understand geographic information systems (GIS) , while a CIRS job in the finance sector might require expertise in quantitative trading algorithms. Familiarity with blockchain technology is beneficial for projects involving secure data transactions, and augmented reality (AR) and virtual reality (VR) knowledge opens new avenues for CIRSs in user experience research. Finally, developing skills in research funding and grant writing will aid a CIRS in disseminating their findings through publications and patents.

In addition to these technical skills, CIRSs must also possess strong soft skills like effective communication skills , teamwork, and time management. These skills are crucial for collaborating on interdisciplinary projects and for successfully navigating the dynamic and rapidly evolving landscape of technology research.

Continuous learning and professional development are key to staying up-to-date in this field, and computer and information research professionals can leverage online courses, tutorials, and professional certifications to stay current. Platforms like Coursera, edX, or industry-specific certifications provide avenues for learning new computing languages, skills, and technologies. Meanwhile, engaging with professional communities, attending conferences, and participating in workshops can provide valuable insights into the latest developments, emerging technologies, and industry trends. Additionally, gaining practical experience through collaborations on open-source projects or contributing to tech community forums can enhance real-world problem-solving abilities.

By prioritizing foundational skills, connecting them to specific CIRS roles, and balancing technical and soft skills, professionals can position themselves as valuable assets within the computer and information research community and remain relevant in this dynamic industry.

Gaining Hands-on Experience

Hands-on experience is critical to the development of a Computer and Information Research Scientist. Internships and research projects are traditional avenues for acquiring such experience; however, equally valuable opportunities can arise from freelance work, personal projects, or contributions to open-source initiatives. These diverse experiences allow for the development of specific technical skills, like programming languages and data analysis tools, and provide practical knowledge of using various software platforms and existing technology .

Engaging in different types of research projects, whether theoretical, applied, or industry-funded, offers a broader perspective on the field. These projects not only enhance technical skills but also foster the ability to work collaboratively with diverse teams, building professional networks essential for career growth. Be proactive and resourceful when looking for opportunities. Utilize a wide range of platforms, from online job boards and professional society websites to academic networks and university research labs, to identify opportunities that align with your interests and career goals, and don’t hesitate to reach out directly to organizations or professionals involved in areas you're passionate about. While working on a project, set clear goals, actively seek feedback, and cultivate relationships with mentors.

By participating in these ventures, aspiring professionals can gain a deeper understanding of how various systems operate and can be improved, whether in terms of efficiency, innovation, or faster computing speeds . These experiences not only sharpen technical prowess but also hone communication and collaboration skills, which are crucial for presenting findings and working effectively within teams. These collective experiences significantly contribute to a comprehensive understanding of the field, positioning individuals as competitive and proficient in their field.

Building a Strong Professional Profile

Building a robust professional profile is key to establishing credibility and securing opportunities in the dynamic field of computer and information research. This involves not only showcasing your technical skills and qualifications but also highlighting a comprehensive portfolio that includes your research papers , patents, and notable research projects. These elements should clearly demonstrate your expertise and contributions to the field. Additionally, incorporating details like professional affiliations, awards, volunteer work, or presentations at conferences can further enhance your profile's diversity and richness.

In today's digital age, having a strong online presence is invaluable to establishing a strong professional profile. Utilize platforms like GitHub for sharing code and personal websites for a more detailed portrayal of your projects and achievements. To effectively network and build valuable connections , engage actively on professional networking sites like LinkedIn, participate in relevant online groups, and leverage social media platforms judiciously. However, be mindful of the potential pitfalls of online profiles, such as sharing sensitive information or unprofessional content. Manage your online presence responsibly, ensuring it aligns with your professional image and goals. Engaging with the scientific community is also crucial; actively participate in collaborations, attend industry events and workshops, and present at conferences to forge in-person connections, in addition to contributing to online forums and discussions.

Ultimately, starting a career as a CIRS requires both demonstrated technical proficiency as well as a well-rounded professional persona that reflects your ongoing growth and adaptability in the field.

Navigating the Job Market

The job market for Computer and Information Research Scientists (CIRS) is diverse and expanding, offering a range of opportunities in various sectors. In academia, positions like research scientist or lecturer allow for the development and sharing of knowledge. In the industry sector, a CIRS may take on the role of a software engineer in computer systems design or electronic component manufacturing , where the application of new computing technologies is key. State or federal government roles often involve working on innovative projects and technological advancements, while healthcare organizations increasingly seek CIRS expertise for developing advanced medical imaging software and patient data analysis systems. Additionally, CIRSs with specialized skills might consider non-traditional paths like freelance work, consulting, or entrepreneurship.

To successfully navigate the job market , it's crucial to adopt effective job search strategies. Utilize online job boards, attend industry conferences, and network with professionals in the field. Tailoring resumes and cover letters to specific roles, preparing for technical interviews, and effectively showcasing research experience are essential steps in the application process. Understanding salary ranges and factors affecting compensation is also important, as is recognizing the potential for career progression within different sectors. Continuously learning and upskilling is vital to remaining competitive and adaptable in the evolving landscape of computer scientists' careers. This proactive approach and a keen understanding of the job outlook can guide CIRS professionals towards fulfilling and dynamic career paths.

Industry Trends and Future Outlook

As discussed, the nature of this field demands staying abreast of industry trends. Currently, computer and information research is being shaped by pivotal developments in artificial intelligence , machine learning , data science , cybersecurity , and quantum computing . While these advancements offer immense opportunities, they also bring challenges, such as ethical dilemmas in AI development and concerns over job displacement due to increased automation. Understanding these dynamics is crucial for CIRS professionals looking to navigate the future successfully.

The CIRS field is inherently global, presenting career opportunities worldwide and requiring an awareness of international technological advancements. Emerging technologies like augmented reality (AR) , virtual reality (VR) , and the Internet of Things (IoT) are also expanding the scope of CIRS work, often requiring interdisciplinary approaches across diverse sectors such as healthcare, environmental science, and urban planning. There is likely to be a growing demand for specializations in AI ethics , cybersecurity defense , and quantum algorithm development .

The rise of remote work and digital collaboration tools has also transformed the work landscape, enabling global collaboration and expanding the range of projects and partnerships available to CIRS professionals. Additionally, there is an increasing emphasis on developing technologies that are sustainable and socially responsible, with CIRS professionals expected to consider the environmental and societal impacts of their innovations. Embracing continuous learning and staying adaptable are key to thriving in this rapidly changing landscape, and CIRS professionals should engage with resources like industry journals, online courses, and international conferences to stay informed and prepared. The future of CIRS is not just about keeping up; it's about leading the charge in technological innovation and societal advancement.

Frequently Asked Questions

What are typical career advancement opportunities for a cirs.

The CIRS career offers various advancement opportunities. Initially starting as research assistants or junior scientists, professionals in this field can progress to senior research roles or lead their own projects. With experience, they often move into higher managerial positions like Lead Scientist or Research Director, overseeing larger projects and teams. For those interested in academia, long-term career progression could lead to tenured professorships or heading a university research department. Additionally, some CIRS professionals transition into high-level roles such as Chief Technology Officers (CTOs) in corporations, leveraging their extensive technical knowledge and leadership skills to drive innovation at an organizational level.

How Can CIRSs Contribute to the Development of New Technologies and Innovations?

Computer and Information Research Scientists contribute significantly to new technologies and innovations by conducting cutting-edge research in areas like artificial intelligence and machine learning, leading to breakthroughs in computational methods and algorithms. They play a pivotal role in designing and developing advanced software and hardware systems, often tailoring these innovations to meet specific industry needs. Additionally, their expertise in data analysis and modeling enables the creation of more efficient and intelligent technological solutions. Through interdisciplinary collaborations, they also integrate their technical knowledge into various fields, driving innovation and practical applications of emerging technologies.

What Common Challenges Do Computer and Information Research Scientists Face?

Computer and Information Research Scientists often face challenges such as staying current with rapidly evolving technology trends, which requires continuous learning and adaptation. They also encounter complex problem-solving situations where they must develop innovative solutions to intricate and sometimes unprecedented computing issues. Additionally, balancing the practical application of research with theoretical advancements can be challenging, as can ensuring the ethical use of emerging technologies like artificial intelligence and big data. Collaborating effectively with multidisciplinary teams and communicating complex concepts to non-specialists can also present significant challenges in their daily work.

What Certifications or Programs Can Enhance the Career Prospects of a CIRS?

There are several certifications and professional development programs that can enhance the career prospects of Computer and Information Research Scientists. Certifications in specific programming languages, data science, machine learning, and cybersecurity, such as those offered by CompTIA, Microsoft, or Cisco, are highly beneficial. Advanced programs like Certified Data Scientist (CDS) and Certified Information Systems Security Professional (CISSP) can also be valuable. Additionally, participating in specialized workshops, online courses, and conferences, such as those provided by ACM or IEEE, can aid in staying current with the latest advancements and networking with professionals in the field.

What Potential Ethical Considerations Does a CIRS Face in Their Work?

Computer and Information Research Scientists have a responsibility to address and manage various ethical considerations in their work. Key issues include ethical dilemmas in artificial intelligence, such as ensuring AI systems do not perpetuate biases or make unfair decisions. Data privacy is another critical area, requiring the responsible handling and protection of sensitive information to prevent misuse and breaches. Additionally, they must be vigilant about algorithm bias, actively working to identify and mitigate any unintended discrimination or adverse impacts on certain groups, ensuring their work is equitable and fair for all users.

As we have explored, becoming a computer and information research scientist allows you to chart the future of technology while making exciting discoveries that impact people's lives. If you are driven to push boundaries, have a keen analytical mindset, and are willing to pursue the rigorous education this role demands, then a career as a CIRS may be your calling. With passion and diligence, you can land your dream job developing innovations at the leading edge.

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How to Become a Computer and Information Research Scientist

Education Pathways, Skills, and Certifications

Computer and information research scientists find innovative ways to tackle any computing problems. This entails being involved in various tech fields like data science, programming, and robotics. Because of the scope of the job, computer and information research science professionals are in high demand within the industry.

Entering this field can therefore position you for a more rewarding salary and huge growth potential. This guide will highlight how to become a computer and information research scientist. It also contains information about salary, certification, and job outlook. By the end of the article, you’ll have a better grasp of whether you should pursue this particular career.

What Is a Computer and Information Research Scientist?

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A computer and information research scientist studies computing technology for faster computing speeds and improved information security. They find new ways to assemble, program, and link computers. Computer and information research scientists also handle processing and data transfer speeds.

As a computer and information research scientist, you will conduct experiments to test different theories about programs, systems, and new algorithms. You may write research papers on your findings that are published in academic journals. You can work in data science departments, engineering firms, and the federal government.

What Does a Computer and Information Research Scientist Do?

A computer and information research scientist studies and solves computing problems. S/he assesses the data and that leads to technological advancements across sectors like business, science, and medicine. Below are the other key responsibilities of a computer and information research scientist.

Develops Hardware and Software

A computer and information research scientist develops computer software and hardware, improving the programs when needed. The job involves working with algorithms to create computing languages, as well as technological resources.

You will also be responsible for creating machine learning and cloud storage systems. In addition, you will focus on implementing enhancements like stronger network systems, faster computing speeds, and more reliable measures for cyber security.

Simplifies Existing Algorithms

Computer tasks may be difficult and require even more complex algorithms. A computer research scientist simplifies the existing algorithms to make them efficient. You may also create new algorithms to develop other types of technology.

Solves Complex Problems

More fields today like business, medicine and science rely on networking systems and digital data. A computer and information research scientist helps create balance by working with electrical and hardware engineers to solve different computer problems.

You will also be responsible for testing software systems and analyzing the result of these tests. You will subsequently publish these findings in academic journals.

Computer and Information Research Scientist Education Pathways

Before starting a career as a computer and information research scientist, you’ll need proper training. Fortunately, many different pathways lead to this career. Below are the three main paths you can take to become a computer and information research scientist.

Computer and Information Research Scientist Degree

Many employees prefer candidates with advanced degrees. This means that you may need to get a Bachelor’s Degree in Computer Science or a related field before advancing to a master’s degree.

A significant number of computer and research scientists hold a master’s degree or even a PhD. That said, some employers accept students with bachelor’s degrees alone. Whatever your qualifications, you need to be proficient in computer science, programming methodology, computational theories, and language research, among others.

Computer and Information Research Scientist Bootcamps

Bootcamps offer short yet immersive programs that cover both basic and complex training in highly specialized tech skills. The best coding bootcamps often have hands-on training to improve assimilation as well as career services to accelerate your job search. Computer and information research scientists can pick up the skills they need in coding bootcamps.

Data science bootcamps are also a good option for computer and information research scientists to pick up crucial skills. The best data science bootcamps cover topics like data engineering, machine learning, and database analytics. You’ll also learn vital programming languages in the data science field, such as Python, Hadoop, SQL, JavaScript, and HTML.

Computer and Information Research Scientist Courses

While taking short courses online won’t suffice to launch a career in computer and information research, it can be a great way to upskill. Online courses are ideal for computer and information research scientists who need a refresher or new skills to advance their careers.

Depending on which skill you wish to acquire or improve, you can choose from courses that focus on data visualization, advanced data mining, data analytics with Python, or data analysis with Excel. The courses are usually self-paced, making them ideal for working professionals.

How to Become a Computer and Information Research Scientist: A Step-by-Step Guide

As stated above, you can become a computer and information research scientist by getting a degree and attending a bootcamp. If you choose to earn a bachelor’s degree, here is a step-by-step guide.

Earn a bachelor’s degree

Your path toward becoming a computer and information research scientist usually starts with getting a computer science-related degree. A Bachelor’s Degree in Data Science is also ideal. The program covers crucial skills in statistics, programming, predictive modeling, and machine learning.

Advance your education

Most employers prefer candidates with an advanced degree. This means you will also need to complete your postgraduate degree. A Master’s Degree in Computer Science or Data Science may be ideal. The program should cover big data analytics, data mining, experimental design, and deep learning.

Build your computer skills

To improve your chances of getting a job, hone your computer skills. Be proficient in not just one but multiple programming languages. Learn how to build basic software. Online courses and tutorials can come in handy for these initiatives.

Earn professional certifications

Although not essential for an entry-level job, a professional certification can help you improve your job prospects and even advance your career. This is because professional certifications are a great way to illustrate specific competencies. Some companies that award certifications include IBM, Dell, SAS, and Microsoft.

Apply for jobs

After getting trained up, it’s time to put your skills and knowledge to use. Apply for entry-level positions that meet your career goals.

Top Computer and Information Research Scientist Skills

Technical knowledge is not enough to become a computer and information research scientist. You’ll also need the right skills. Being accomplished in Python, cyber security, machine learning, and the C++ programming language, for example, will make you more valuable to employers in this field. It will also bump up your earning potential.

Below are some of the most important skills in this profession.

Strong Communication and Analytical skills

A computer and information research scientist must be able to communicate appropriately with managers and programmers. You will also need to clearly explain conclusions to other non-technical people, such as stakeholders.

You will often publish your research in academic journals, so strong writing skills will also come in handy. Being organized in your thinking to formulate conclusions from your research should be another string to your bow.

Ingenuity and Advanced Math Skills

Computer and information research scientists need to be equipped with technical skills including algorithm development, data analysis, and machine learning. They must also be able to find innovative ways to handle problems. Advanced math knowledge is essential because it underpins much of the work you will do.

Proficiency in Writing and Presenting

Because computer and information research scientists work on research and development, writing is a key skill in this role. That said, the job also requires presentations to stakeholders and board members. So, a computer and information research scientist will need to learn to present ideas.

You can also expect to work with project managers and marketers who want to understand the processes. Therefore, you must be able to communicate effectively through writing.

Computer and Information Research Scientist Salary and Job Outlook

Computer and information research scientists are some of the best-paid IT employees. According to the Bureau of Labor Statistics, the median annual wage for computer and information research scientists was $126,830 in 2020 .

These professionals undertake development and research work, and this turns ideas into valuable new technology. As more businesses use this technology, the demand for computer and information research scientists will rise as well.

Entry-Level Computer and Information Research Scientist Job Requirements

A master’s degree can be the main requirement for some computer and information research scientist jobs. However, employers do accept candidates with a bachelor’s degree and even bootcamp certificates.

How to Prepare for Your Computer and Information Research Scientist Job Interview

Being prepared for your interview can help you stand out from other applicants. There are a lot of common questions to expect in such interviews. Delivering your answers confidently and correctly can help you get that callback.

Here are some potential interview questions for computer and information research scientists.

Computer and Information Research Scientist Job Interview Practice Questions

• What are the main components of computer systems?
• Explain the difference between a class and a superclass.
• What are the popular operating systems being used today and why?
• What are some of the commonly used computer processors?

Computer and Information Research Scientist Certifications

Computer and information research scientists can select from many certifications to advance their learning. Experts who work with a platform or specific product may need to get a vendor-specific certification. However, if you have plans to switch jobs in the future or for more flexibility, a vendor-neutral certification might be a better choice.

Below are three popular certifications for computer and information research scientists.

This certification qualifies you to work in operations and technical support departments. It also validates your knowledge in several areas like networking, software and hardware troubleshooting, mobile devices, Windows, and operational best practices.

Cisco Certified Network Associate

This certification is a vendor-specific one. It covers Cisco network installation, monitoring, and troubleshooting. Earning this certification means that you are prepared to manage the change to software-driven networks.

Cisco Certified Network Professional

This certification offers three levels for professionals: associate, professional and expert. This certification demonstrates mastery of implementation, network planning, and troubleshooting. You’ll also learn to collaborate on advanced solutions.

How Long Does It Take to Become a Computer and Information Research Scientist?

The time it takes to become a computer and research information scientist depends on the education path you choose. Bootcamp attendees can enter the workforce within months. On average, bootcamp programs run for 13 weeks, although some can be longer.

If you want to break into the industry with a degree, then you are facing a bigger time commitment. You need to first get a bachelor’s degree in a computer science-related course. This will take around four years for full-time students.

After this, you can aim for a master’s degree in the same field. This degree will take another two to three years before you are ready to start applying for jobs.

Why You Should Become a Computer and Information Research Scientist in 2021

The world has gone digital, and there is no going back. Technology will continue to develop as we advance towards the future. Computer and information research scientists are essential for this growth, so the demand for these experts will also increase

You should join this career path because it will open up several opportunities for you. You have the option of joining the tech industry or applying your skills to so many other sectors. This career guarantees a rewarding salary and excellent growth potential.

Computer and Information Research Scientist FAQ

What does a computer and information research scientist do.

Computer and information research scientists invent, design, and improve new and existing technology and techniques in computing. They also study and handle complex problems in computing for science, business, medical and other fields.

Where do computer and information research scientists work?

Computer and information research scientists are IT personnel who do more theoretical work compared to other computer professionals. They work with research departments, colleges and universities, government agencies, and computer systems design companies.

What qualifications do you need to become a computer and information research scientist?

In some cases, possessing a Master’s Degree in Computer Science may improve your chances of becoming a highly paid computer and information research scientist. Other employers accept candidates with a bachelor’s degree. Coding bootcamp training can also qualify you to become a computer and information research scientist.

How much do computer and information research scientists earn?

According to the US Bureau of Labor Statistics, computer and information research scientists earned $126,830 on average in 2020. This wage can be more depending on the state you live in and your experience level. It also does not include other benefits and bonuses.

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Computer and Information Scientists

• Science, Technology, Engineering and Mathematics
• Income and Hiring
• Tasks, Knowledge, Skills
• Career Insights

What do Computer and Information Scientists do?

Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

Career Interests Areas

• Investigative
• Conventional

You might also be interested in…

Computer hardware engineers, biochemists and biophysicists, molecular and cellular biologists, aerospace engineers.

Data on career profiles are based on information supplied by the O*NET Program , sponsored by U.S. Department of Labor, Employment, and Training Administration.

Example Career: Computer and Information Research Scientists

Career description.

Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.

What Job Titles Computer and Information Research Scientists Might Have

• Computer Scientist
• Control System Computer Scientist
• Scientific Programmer Analyst

What Computer and Information Research Scientists Do

• Analyze problems to develop solutions involving computer hardware and software.
• Assign or schedule tasks to meet work priorities and goals.
• Evaluate project plans and proposals to assess feasibility issues.
• Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
• Consult with users, management, vendors, and technicians to determine computing needs and system requirements.
• Meet with managers, vendors, and others to solicit cooperation and resolve problems.
• Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
• Develop and interpret organizational goals, policies, and procedures.
• Participate in staffing decisions and direct training of subordinates.
• Develop performance standards, and evaluate work in light of established standards.
• Design computers and the software that runs them.
• Maintain network hardware and software, direct network security measures, and monitor networks to ensure availability to system users.
• Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.
• Approve, prepare, monitor, and adjust operational budgets.

What Computer and Information Research Scientists Should Be Good At

• Deductive Reasoning - The ability to apply general rules to specific problems to produce answers that make sense.
• Inductive Reasoning - The ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events).
• Problem Sensitivity - The ability to tell when something is wrong or is likely to go wrong. It does not involve solving the problem, only recognizing there is a problem.
• Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences.
• Written Comprehension - The ability to read and understand information and ideas presented in writing.
• Oral Expression - The ability to communicate information and ideas in speaking so others will understand.
• Fluency of Ideas - The ability to come up with a number of ideas about a topic (the number of ideas is important, not their quality, correctness, or creativity).
• Information Ordering - The ability to arrange things or actions in a certain order or pattern according to a specific rule or set of rules (e.g., patterns of numbers, letters, words, pictures, mathematical operations).
• Near Vision - The ability to see details at close range (within a few feet of the observer).
• Category Flexibility - The ability to generate or use different sets of rules for combining or grouping things in different ways.

What Computer and Information Research Scientists Should Be Interested In

• Investigative - Investigative occupations frequently involve working with ideas, and require an extensive amount of thinking. These occupations can involve searching for facts and figuring out problems mentally.
• Realistic - Realistic occupations frequently involve work activities that include practical, hands-on problems and solutions. They often deal with plants, animals, and real-world materials like wood, tools, and machinery. Many of the occupations require working outside, and do not involve a lot of paperwork or working closely with others.
• Artistic - Artistic occupations frequently involve working with forms, designs and patterns. They often require self-expression and the work can be done without following a clear set of rules.
• Conventional - Conventional occupations frequently involve following set procedures and routines. These occupations can include working with data and details more than with ideas. Usually there is a clear line of authority to follow.

What Computer and Information Research Scientists Need to Learn

• Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
• Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
• English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.
• Education and Training - Knowledge of principles and methods for curriculum and training design, teaching and instruction for individuals and groups, and the measurement of training effects.
• Telecommunications - Knowledge of transmission, broadcasting, switching, control, and operation of telecommunications systems.
• Design - Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models.
• Administration and Management - Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.
• Engineering and Technology - Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.
• Customer and Personal Service - Knowledge of principles and processes for providing customer and personal services. This includes customer needs assessment, meeting quality standards for services, and evaluation of customer satisfaction.
• Communications and Media - Knowledge of media production, communication, and dissemination techniques and methods. This includes alternative ways to inform and entertain via written, oral, and visual media.

• O*NET Code: 15-1221.00
• O*NET Summary

Related Majors

This page includes information from O*NET OnLine by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license.

Table of Contents

What do computer and information research scientists do  , steps to become computer and information research scientist , computer and information research scientist salary , computer and information research scientist skills, computer and information research scientists career path , job outlook, frequently asked questions, conclusion , how to become a computer and information research scientist.

Career paths in computer science can go in many different directions. The role of a computer and information research scientist is one of them. It may be less known than the typical computer programming or software engineering jobs. But it comes with the opportunities of great pay and benefits. 

If you want to break into high-demand computer science careers , are interested in a research-oriented job, and would love to work with algorithms, consider becoming a computer and information research scientist.

Whether you are just starting your journey in the professional world or want to pivot to a new career, here is all you need to know about how to become a computer and information research scientist. 

Find More Computer Courses to Shape Your Career.

Computer and information research scientists work to improve and create new computer software and hardware. Let us look at the job description of a computer and information research scientist. 

A computer and information research scientist is expected to explore fundamental issues in computing. They develop models and theories that help address these issues. They also work closely with other scientists and engineers to solve complex computing problems. 

It is often the computer and information research scientists that invented new computing languages, methods and tools. They create. They create software systems, design experiments to test the operation of these systems, and analyze the result of their experiments. 

Research scientists publish their findings in academic journals and present them at seminars and conferences. Computer and information research scientists design new computer architectures and algorithms that improve the performance and efficiency of computer hardware.

Becoming a computer and information research scientist is a long process. It takes an education that focuses on computer science. It is great if you are inclined towards computer science and its core aspects. But that alone does not suffice. It is a path that requires dedication, hard work and keen intelligence. Being a researcher requires an eye for detail, imagination and a research mentality. Let us look at a step-by-step process of how to become a computer and information research scientist.                                                                                       

Step 1: Identifying a Passion for Computers 

You may be inclined to computers, their inner workings, programming languages or coding from a young age. Having a passion for a particular stream, identifying it and honing your abilities in that area can help as you are on the verge of launching your career. If you are still someone with such interests, you can cultivate them by learning new computer languages, joining clubs focusing on computer systems, extensive reading etc. You can also hone your research skills by learning on your own through various online resources. 

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Step 2: Education 

Starting a computer and information research career can only be backed by a solid education track record. You will need to pour in hard work and persistence. 

You will need an undergraduate degree with computer science or a related subject as a core. Your post-graduate degree should also be a computer-related subject. On the whole, you should have a very good base of the fundamentals of computer systems, programming, machine learning, statistics, predictive modeling etc. 

You can choose a master's program like Simplilearn’s Data Scientist masters program , developed in collaboration with IBM. It is designed to make students ready for research-centric roles in the industry. Some employers also look for a PhD in the relevant area. 

Step 3: Be Industry-Ready with Certifications

Employers today look for certification in candidates as a show of skills. Leading companies like Dell, Microsoft, IBM, and SAS. These prove that you have received training from industry experts.

Before you begin a career as a computer and information scientist or attend an interview, you need to be aware of the pay scale and the average pay at different levels. 

Here we take a look at Computer and information research scientists' salaries. These are from verified sources like the Bureau of Labor Statistics, the U.S Department of Labor and other international survey groups like Payscale that compile data from individuals online. Take a look! 

• Median annual wage as of May 2021is $131,490
• The annual wage of the lowest 10% is $74,210
• The highest 10% earned more than $208,000

The major industries they worked in include computer systems designs and related services, software publishers, and research and development in engineering, physical and life science. Other departments include the Federal government, colleges, universities, and professional schools. 

Compared to the US salary scale, the Indian salary scales fares thus: 

• The average annual computer and information research scientist salary with less than one year of experience is ₹606,782
• The average salary of a computer scientist with 1-4 years of experience is ₹1,448,276
• The average salary of a mid-career computer scientist who has 5-9 years of experience is ₹2,367,920
• The average salary of a computer scientist with 10-19 years of experience is ₹3,008,649

An aspiring computer and information research scientist should have a strong knowledge of the core aspects of computer systems like programming languages, coding, software development, technical writing, etc. Apart from these, as a computer scientist, here are some skills you should ensure you have in your arsenal. 

• Technical and mathematical Skills : Skills like software development, hardware engineering, computer programming, and strong knowledge of mathematics, including discrete mathematics, calculus, statistics, linear algebra etc. 
• Communication skills: This is a must-have when working in a collaborative environment, especially to explain their research to a technical and non-technical audience. 
• Technical writing skills: Many scientists require this skill for their work. Creating technical manuals, documenting project data etc., for others, especially in a comprehensive and if needed, non-technical way. 
• Project management skills: Scientists often have to lead IT teams for different projects. Skills like strategy, delegating tasks, allocating budgets, anticipating outcomes etc are important to carry out projects successfully. 
• Analytical skills: A computer scientist must have sharp analytical skills to complete various data-driven tasks. They would have to collect, test, evaluate and document data as part of their work. 
• Problem-solving skills : Having a logical approach and being systematic all account for the process of problem-solving. These skills are important when trying to achieve business objectives. 

The Computer and Information Research Scientists Career Path can be unique for every person. How a person gets there depends on each one’s journey. However, the basics are almost the same. 

For a job role as a computer and information research scientist, one would require a bachelor's in computer science. Graduating from a reputed university adds to the advantage as you get as much exposure and quality in the training you receive. You can then pursue post-graduation in a computer-related field like data science, machine learning etc. Being picky about your major during post-graduation determines a lot of your career path too. 

If you are into research, you can pursue a PhD from a reputed university. You can follow your work with your research findings or find a job in a company that is looking for computer and information research scientist roles. 

You may be assigned an assistant role before being promoted to associate positions. 

The Bureau of Labor Statistics of the US predicts that there will be a 16% growth rate for computer scientists' job roles by 2028. This means there will be an increase in the current number of 31,700 to 37,000. This is triple the national job market growth rate during the same period. The increased data collection and the need for more experts to create processes and programs means increasing demand for computer scientists. Another reason for the rapid growth prediction is the development of cyber security and new software. 

However, the largest growth will be in computer systems design and related jobs, where there are an estimated 2,800 new jobs. There is also a significant increase in the Research and development services job roles. 

1. How do I become a computer scientist?

You can become a computer scientist by doing a bachelor's, master's and PhD in computer-related fields and applying for research roles in research-oriented companies. 

2. How do I become an information technology researcher?

You can become an information technology researcher by pursuing your bachelor, master's and doctorate in computer-related fields. You can then apply for research roles to become an IT researcher. 

3. How many years does IT take to become a computer scientist?

There is no dedicated timeline for becoming a computer scientist. You can become a computer scientist after completing your PhD and then applying for research roles. 

4. How many hours do computer and information research scientists work?

The number of hours is subjective to the company, project and the complexity of a scientist's work. 

5. Where do information scientists work?

They work in an organization that is research-oriented and developing new technology. 

Our Data Scientist Master's Program covers core topics such as R, Python, Machine Learning, Tableau, Hadoop, and Spark. Get started on your journey today!

The prospects of a computer and information research scientist are vast and rewarding. If this guide has convinced you of the opportunities waiting for you, we strongly suggest you start your journey immediately. Explore, to know more about computer courses .

If you have a bachelor's degree, one of the best ways to move forward is to get a master's degree that will propel you to the world of computer research. At Simplilearn, we offer a stellar chance of doing so with our Data Scientist Master’s Program , which is designed in collaboration with IBM. We provide the world-class training and skill required to become successful in the industry. Sign up with us to enroll now! 

Data Science & Business Analytics Courses Duration and Fees

Data Science & Business Analytics programs typically range from a few weeks to several months, with fees varying based on program and institution.

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How to Become an Information Scientist

If you enjoy working with information and data, you will definitely want to know how to become an information scientist.

Over a decade of working in this field, I have seen many young people struggle to get this job because they don’t know where to start.

You’re lucky because the steps below will help your career path be easy. Keep scrolling to discover!

Overview of Information Scientists

Before you learn how to get this job, you need to understand the job duties, roles, and work environment.

Who Is An Information Scientist?

In simple terms, information scientists work with data and information. They know a lot about:

• Organize and manage information and data
• How different fields work

You will often find them working in the following areas:

Regarding their roles, they make systems to gather, store, and organize information. So they help find information quickly and easily. Also, they use math and technology to find patterns in big data sets.

In today’s world, where data is vital, these people help companies and groups to make good choices.

What Do Information Scientists Do?

So what are the daily tasks of an information scientist? Many people think this job will only have to work with information and data in research labs. But my duties are much more interesting than that, specifically:

• Gather information from different places and make sure it’s correct and updated.
• Use computer skills to find essential information in the data.
• Create systems to store information to find it easily when needed.
• Answer FOI requests.
• Make graphs and charts to show the information in a clear way that people can understand.
• Work with other experts in different fields to understand what the data means.
• Advise on what to do based on the information.
• Train and supervise assistant staff.

In short, my job is to make sense of information, help others understand it, and use it to make good choices and find new ideas.

Work Environments

Some places where information scientists work include:

• Technology companies
• Healthcare institutions
• Financial institutions
• Academic and research institutions
• Government agencies
• Consulting firms

Depending on your expertise, you can pick from these fields and locations. Of course, each will give you a different work environment .

I work in a technology company. I have a comfy office where I use a computer to study data, write code, and make reports. Here, I focus and get things done.

I usually meet with coworkers from different parts of the company to talk about projects. Sometimes, I work from home or anywhere with the internet.

Once in a while, I go to the factories to collect information because I work in a technology company. If you work in the medical industry, you occasionally go to the hospital to collect information.

How To Become An Information Scientist?

Before getting into specific guides, I must emphasize that this work requires a deep knowledge of information and data. Thus, you have to spend a lot of time studying and gaining the needed degrees. Here are the specific steps:

Step 1: Learn Programming Languages

Learning programming languages is the first step to getting this job. Why? Because as an information scientist, you’ll deal with lots of data, and coding helps you work with it well.

These languages help you clean up data and organize it. For example, you can use codes to quickly sort through large amounts of data and find what you need.

The most common languages for this job are Python, R, and SQL:

• Python has a rich ecosystem of libraries such as NumPy and pandas. So it’s ideal for data manipulation and analysis.
• R is for making graphs and learning statistics.
• SQL is handy when you’re dealing with databases.

To start, you don’t need to be a programming expert. Begin with the basics, like knowing how commands work and how to write simple programs. Then, practice with real data and small projects to get better.

Besides, online courses and tutorials can help you learn programming step by step. Also, I recommend joining online communities to learn from others and share your progress.

Step 2: Earn A Bachelor’s Degree

You can’t get this job without a degree. So the most vital step is earning a Bachelor’s degree. What you learn in universities will be very useful for your future work. After graduating, you will have a deep understanding of:

• Working with information
• Using computers to organize information
• Big sets of data
• Keeping information safe and private

To begin, look for universities that offer degrees in:

• Computer Science
• Information Science
• Data Science
• Related disciplines

I recommend seeking ones that provide practical experience through projects and labs.

Step 3: Gain Some Job Experience

After finishing your Bachelor’s degree, getting job experience is like practicing what you’ve learned. You can use the skills you gained in real situations.

Besides, you’ll face different problems in real jobs. Solving these problems teaches you new things and helps you think better.

In this process, you can learn about the latest trends and tools people use. Moreover, working lets you meet other people in your field. They can help you study and maybe even help you find better jobs in the future.

To get job experience, you can choose one of the following:

• Internships: Work as an intern where you help and learn in a workplace. You can seek internships in companies or research institutions focusing on information analysis, information management, or related fields.
• Entry-level jobs: Start with beginner jobs like a junior information analyst. These jobs help you learn while working.

Usually, finding an internship is the easiest way to gain experience. After completing the internship, you will be retained and appointed to an official position if you have performed well.

Step 4: Get Certified

Besides a Bachelor’s degree, you should have one (or a few) certifications to prove you have top-notch skills in this field.

Moreover, many companies look for certified pros when hiring. So it can open doors to better job positions.

When you choose a certification, look for one that matches your skills and career goals. Some popular ones are:

• Certified Information Systems Security Pro (CISSP)
• Certified Information Pro (CIP)
• Certified Analytics Pro (CAP)

Remember, each has its own needs and focus areas. After choosing the suitable one, invest time preparing for the exams.

Step 5: Get A Master’s Degree

In fact, you don’t always need a Master’s degree to get this job. Some firms accept a Bachelor’s degree. Yet, having a Master’s degree can make you more qualified for better jobs.

For basic jobs, a Bachelor’s degree is okay. But if you want higher positions or to be really good at some parts of this field, a Master’s degree is helpful.

Also, if you’re interested in doing research or teaching, this degree can be a step toward that. So, how to get a Master’s degree? Like a Master’s degree, you need to explore universities offering Master’s degrees in the field you want to learn.

Don’t forget to evaluate tuition costs, scholarships, and financial aid options because these programs often require solid financial resources.

Step 6: Build A Portfolio

Why do you need a portfolio? Instead of just saying you’re good in this field, your portfolio provides actual evidence of projects you’ve worked on.

Your portfolio reflects your style and expertise. It’s like creating your own brand as an information scientist.

If you have no experience building a portfolio, check out my tips below:

• Select projects: Choose projects that show different skills. It could be information analysis, visualization, programming, or any related task.
• Describe clearly: Explain each project clearly. What was the problem? What did you do? What were the results?
• Visuals matter: Use graphs, charts, and visuals to make your work easy to understand.
• Share code: If you’ve done programming, share snippets of your code to show your technical abilities.
• Include your process: Explain how you approached the project to show how you think and solve problems.
• Online platforms: Create a website or use platforms like GitHub, LinkedIn, or Behance to host your portfolio.
• Regular updates: Keep adding new projects to your portfolio as you complete them.

Building a portfolio is like building a showcase of your talents. It lets you prove you’re more than just words: you’re a skilled information scientist ready to take on real-world challenges.

Step 7: Start Applying For Jobs

At this point, I believe you have enough knowledge, skills, and confidence to apply for this position.

You can begin by searching for job openings that match your skills and interests. I recommend looking on job boards, company websites, and pro networking platforms.

Then, create a resume highlighting your skills, education, and the projects in your portfolio. You should tailor it to each job by emphasizing the skills and experiences most relevant to the position.

Don’t forget to craft a cover letter introducing yourself. You can explain your interest in the role and highlight how your skills align with the job.

If your application is successful, you’ll have an interview. Before participating in the interview, I recommend researching the company, reviewing common interview questions, and preparing examples of how your skills match the job.

After attending an interview, you can send a follow-up email to express your gratitude and reiterate your interest in the position.

Remember, the process might vary from company to company. But staying organized, showcasing your skills, and well communicating your passion for the role will increase your chances of landing the job.

Step 8: Continue Improving Skills

Even if you have got this job, you must continue to hone and develop your skills as the field is constantly changing.

You can learn from your seasoned colleagues to better understand your workflow and how to do your job well.

Over time, as you present yourself as an excellent employee, you can advance to higher positions with better salaries.

Skills of an Information Scientist

You need to hone both soft skills and hard skills if you want to get this job and achieve success in the future.

Hard Skills

• Computer languages: Know how to use Python, R, and SQL to do data tasks.
• Working with information: Be good at cleaning up data, doing math with it, and using tools to understand it better.
• Using databases: Understand how to store and find information in organized systems.
• Information visualization: Make graphs and pictures that show information in a way people can understand.
• Handling big data: Know about big data tools like Hadoop, Spark, and cloud-based that help with really huge amounts of information.
• Using special tools: Use libraries like Pandas, NumPy, Scikit-Learn, and TensorFlow for data manipulation, analysis, and machine learning.

Soft Skills

• Critical thinking: Think deeply about problems and find solutions.
• Problem-solving: Be great at finding answers, even if the problems are tough.
• Communication: Speak clearly about information, even if the person you’re talking to doesn’t know much about it.
• Teamwork: Work well in teams, as this field often involves teaming up with domain experts, analysts, and coders.
• Attention to detail: Be careful about the small things when working with information.
• Curiosity: Be willing to learn new things and stay updated with what’s new.
• Adaptability: Being flexible and open to new approaches and technologies as this field evolves.

How Long Does It Take To Become An Information Scientist?

Usually, it’ll take you 5-7 years to get this job, depending on your path, learning pace, and the level of expertise you aim for.

It might take about 3 to 4 years to finish a Bachelor’s degree for a basic job. But for more advanced roles, a Master’s degree could take 1 to 2 years after your Bachelor’s.

Then, gaining experience through internships, projects, and jobs could take months to years.

Job Outlook and Salary

The job outlook for information scientists is quite promising. The field is expected to grow by 21% from 2021-2031. And there will be around 3,300 job openings/year over the next decade.

In 2023, the average yearly pay for this job is around $135,978 and can go up to $198,941 for senior positions.

Overall, the field not only offers good job prospects but also provides a high salary. The demand for skilled information scientists is rising with the increasing reliance on data and information.

As a result, it’s a favorable career choice for those interested in working with information, computers, and technology.

So we went through the journey of how to become an information scientist. From the first step of learning programming languages to applying for this position, the process requires a lot of time and effort.

But if you have enough passion and perseverance, I believe you will get this job and achieve much success! Good luck!

• Information Scientist Career Overview & Outlook
• 10 Pros and Cons of Being an Information Scientist
• A Day in the Life of an Information Scientist
• 10 Best Information Technology Schools in the U.S.
• Information Scientist Salary
• Computer Instructor Career Overview & Outlook

Research Data Scientist

• Madison, Wisconsin
• SCHOOL OF MEDICINE AND PUBLIC HEALTH/INFORMATICS AND INFORMATION TECHNOLOGY
• Staff-Full Time
• Opening at: May 8 2024 at 12:50 CDT
• Closing at: May 26 2024 at 23:55 CDT

Job Summary:

Are you passionate about improving patient health outcomes, optimizing healthcare processes, and advancing science? Join our dynamic Informatics and Information Technology team at the University of Wisconsin School of Medicine and Public Health in Madison, Wisconsin. We are committed to revolutionizing healthcare through implementation of advanced data science approaches, conducting cutting-edge data-centric research, and generating real-world evidence to improve patient health outcomes at UW Health and beyond. As a Data Scientist, the incumbent will use real world data including Electronic Health Record (EHR) data to develop and implement advanced computational algorithms and support conduct of groundbreaking data-driven research. On a day-to-day basis, the incumbent could expect to engage in the following activities: - Data Collection and Preprocessing: preprocess, and validate EHR data, ensuring data quality and reliability; and transform raw data into standard data models (OMOP, mCODE, i2b2 etc.). - Algorithm Development and Optimization: develop and optimize advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models; apply AI/ML techniques to analyze EHR data, to uncover hidden biological and health patterns and gain meaningful insights; evaluate, validate, and implement AI/ML models, regression, and rules-based algorithms on UW Health EHR data; and ensure the reliability and accuracy of algorithms for production environments. - Feature Engineering and Selection: identify key features of EHR data to enhance model performance; and apply domain-specific knowledge to identify meaningful features for predictive modeling. - Predictive Modeling and Insights: build predictive models to forecast disease risk and progression, health outcomes, and treatment effectiveness; and gain actionable insights from model outputs and communicate findings to research community. - Natural Language Processing (NLP): apply NLP techniques to extract insights from clinical notes, reports, and unstructured text data; and develop models for sentiment analysis, entity recognition, and information extraction. - Integration and Optimization: integrate research outcomes with existing AI systems and databases to advance technological capabilities; and continuously optimize, troubleshoot, and debug AI algorithms based on research outcomes and evolving business needs. - Stay Ahead of Emerging Technologies: keep abreast of emerging trends and advancements in AI research to propose innovative solutions to healthcare challenges. - Collaboration and Communication: work closely with cross-functional teams, including clinicians, data scientists, data engineers, and product managers; and present research findings and recommendations in a clear and actionable manner. - Ethical Considerations: ensure compliance with privacy regulations (e.g., NIST, HIPAA) when working with healthcare data; and address bias and fairness issues in AI models when dealing with sensitive health data.

Responsibilities:

• 10% Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
• 15% Identifies and implements or guides others in implementing appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
• 10% Organizes and automates project steps for data preparation and analysis
• 10% Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
• 15% Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
• 15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding data science best practices and methodologies and represents the interests of data science
• 5% May supervise the data-to-day activities of staff and resolves routine personnel issues
• 20% Develops and optimizes advanced computational algorithms using Artificial Intelligence (AI), Machine Learning (ML), regression, and rules-based models

Institutional Statement on Diversity:

Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion

Required PhD In Computer Science, Data Science, Biostatistics or a related field required. Must be obtained by the start date of the position.

Qualifications:

Required Qualifications: - Strong research experience in using AI/ML in health research - Strong publication record in reputable journals - Familiarity with Natural Language Processing (NLP) and deep learning frameworks - Excellent communication skills to convey complex AI concepts to non-technical stakeholders Preferred Qualifications are listed below: Research Credentials: - Knowledge of theoretical and empirical research techniques Technical Skills: - Proficiency in programming languages (Python and R) - Experience with ML libraries (e.g., TensorFlow, PyTorch) and data manipulation tools (e.g., Pandas) Domain Knowledge: - Understanding of healthcare systems, EHR data, and clinical workflows - Knowledge of medical terminologies and coding systems (e.g., ICD-10, CPT) and healthcare data standards (e.g., HL7, FHIR) Collaboration and Communication: - Ability to work effectively in cross-functional and multi-cultural teams. - Strong commitment to diversity and inclusion at workplace.

Full Time: 100% It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location can be provided should a candidate prefer to work fully or partially onsite.

Appointment Type, Duration:

Terminal, 24 month appointment. This position has the possibility to be extended or converted to an ongoing appointment based on need and/or funding

Minimum $90,000 ANNUAL (12 months) Depending on Qualifications The starting salary for the position is $90,000 but is negotiable based on experience and qualifications. Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at ( https://hr.wisc.edu/benefits/ ). SMPH Academic Staff Benefits flyer: ( https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0 )

How to Apply:

To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience. You will also be asked to provide contact information for three (3) references, including your current/most recent supervisor during the application process. References will not be contacted without prior notice.

Cody Roekle [email protected] 608-263-7676 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.

Official Title:

Data Scientist III(RE061)

Department(s):

A53-MEDICAL SCHOOL/Informatics and IT

Employment Class:

Academic Staff-Terminal

Job Number:

The university of wisconsin-madison is an equal opportunity and affirmative action employer..

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A Peek Inside the Brains of ‘Super-Agers’

New research explores why some octogenarians have exceptional memories.

By Dana G. Smith

When it comes to aging, we tend to assume that cognition gets worse as we get older. Our thoughts may slow down or become confused, or we may start to forget things, like the name of our high school English teacher or what we meant to buy at the grocery store.

But that’s not the case for everyone.

For a little over a decade, scientists have been studying a subset of people they call “super-agers.” These individuals are age 80 and up, but they have the memory ability of a person 20 to 30 years younger.

Most research on aging and memory focuses on the other side of the equation — people who develop dementia in their later years. But, “if we’re constantly talking about what’s going wrong in aging, it’s not capturing the full spectrum of what’s happening in the older adult population,” said Emily Rogalski, a professor of neurology at the University of Chicago, who published one of the first studies on super-agers in 2012.

A paper published Monday in the Journal of Neuroscience helps shed light on what’s so special about the brains of super-agers. The biggest takeaway, in combination with a companion study that came out last year on the same group of individuals, is that their brains have less atrophy than their peers’ do.

The research was conducted on 119 octogenarians from Spain: 64 super-agers and 55 older adults with normal memory abilities for their age. The participants completed multiple tests assessing their memory, motor and verbal skills; underwent brain scans and blood draws; and answered questions about their lifestyle and behaviors.

The scientists found that the super-agers had more volume in areas of the brain important for memory, most notably the hippocampus and entorhinal cortex. They also had better preserved connectivity between regions in the front of the brain that are involved in cognition. Both the super-agers and the control group showed minimal signs of Alzheimer’s disease in their brains.

“By having two groups that have low levels of Alzheimer’s markers, but striking cognitive differences and striking differences in their brain, then we’re really speaking to a resistance to age-related decline,” said Dr. Bryan Strange, a professor of clinical neuroscience at the Polytechnic University of Madrid, who led the studies.

These findings are backed up by Dr. Rogalski’s research , initially conducted when she was at Northwestern University, which showed that super-agers’ brains looked more like 50- or 60-year-olds’ brains than their 80-year-old peers. When followed over several years, the super-agers’ brains atrophied at a slower rate than average.

No precise numbers exist on how many super-agers there are among us, but Dr. Rogalski said they’re “relatively rare,” noting that “far less than 10 percent” of the people she sees end up meeting the criteria.

But when you meet a super-ager, you know it, Dr. Strange said. “They are really quite energetic people, you can see. Motivated, on the ball, elderly individuals.”

Experts don’t know how someone becomes a super-ager, though there were a few differences in health and lifestyle behaviors between the two groups in the Spanish study. Most notably, the super-agers had slightly better physical health, both in terms of blood pressure and glucose metabolism, and they performed better on a test of mobility . The super-agers didn’t report doing more exercise at their current age than the typical older adults, but they were more active in middle age. They also reported better mental health .

But overall, Dr. Strange said, there were a lot of similarities between the super-agers and the regular agers. “There are a lot of things that are not particularly striking about them,” he said. And, he added, “we see some surprising omissions, things that you would expect to be associated with super-agers that weren’t really there.” For example, there were no differences between the groups in terms of their diets, the amount of sleep they got, their professional backgrounds or their alcohol and tobacco use.

The behaviors of some of the Chicago super-agers were similarly a surprise. Some exercised regularly, but some never had; some stuck to a Mediterranean diet, others subsisted off TV dinners; and a few of them still smoked cigarettes. However, one consistency among the group was that they tended to have strong social relationships , Dr. Rogalski said.

“In an ideal world, you’d find out that, like, all the super-agers, you know, ate six tomatoes every day and that was the key,” said Tessa Harrison, an assistant project scientist at the University of California, Berkeley, who collaborated with Dr. Rogalski on the first Chicago super-ager study.

Instead, Dr. Harrison continued, super-agers probably have “some sort of lucky predisposition or some resistance mechanism in the brain that’s on the molecular level that we don’t understand yet,” possibly related to their genes.

While there isn’t a recipe for becoming a super-ager, scientists do know that, in general , eating healthily, staying physically active, getting enough sleep and maintaining social connections are important for healthy brain aging.

Dana G. Smith is a Times reporter covering personal health, particularly aging and brain health. More about Dana G. Smith

A Guide to Aging Well

Looking to grow old gracefully we can help..

The “car key conversation,” when it’s time for an aging driver to hit the brakes, can be painful for families to navigate . Experts say there are ways to have it with empathy and care.

Calorie restriction and intermittent fasting both increase longevity in animals, aging experts say. Here’s what that means for you .

Researchers are investigating how our biology changes as we grow older — and whether there are ways to stop it .

You need more than strength to age well — you also need power. Here’s how to measure how much power you have  and here’s how to increase yours .

Ignore the hyperbaric chambers and infrared light: These are the evidence-backed secrets to aging well .

Your body’s need for fuel shifts as you get older. Your eating habits should shift , too.

People who think positively about getting older often live longer, healthier lives. These tips can help you reconsider your perspective .

Nobel laureate Alain Aspect to give May 13 lecture

French physicist Alain Aspect is co-laureate of the 2022 Nobel Prize in physics and a professor at Université Paris-Saclay and École Polytechnique.

Nobel laureate Alain Aspect to give May 13 lecture at Purdue on pioneering efforts in quantum physics and technology

WEST LAFAYETTE, Ind.—Renowned French scientist Alain Aspect, who won the 2022 Nobel Prize for his pathfinding research in quantum physics, will give a lecture on Monday (May 13) at Purdue University on his pioneering work that set in motion a second quantum revolution.

Aspect, a professor of physics at Université Paris-Saclay and École Polytechnique known as the "father of quantum entanglement," shared the Nobel Prize in physics with American physicist John F. Clauser and Austrian physicist Anton Zeilinger for their research using entangled photons to test the quantum foundations of reality.

Their work has advanced a field in quantum physics that famously had been dismissed by Albert Einstein during the 1930s. The result of the trio's Nobel-winning efforts has been a range of new technologies including quantum computing, encryption and more, paving the way for what Aspect today describes as the "second quantum revolution."

His lecture, titled "From Einstein and Bell to Quantum Technologies: Entanglement in Action," is at 2:30 p.m. in the Kurz Atrium in the Neil Armstrong Hall of Engineering. While free and open to the public, please register  here . This talk is the last installment of the 2023-24 Purdue Engineering Distinguished Lecture Series , and is co-hosted by the colleges of Engineering and Science.

"French physicist Alain Aspect is among the select group of scientists and researchers today who are behind the current quantum technology revolution," said Arvind Raman, the John A. Edwardson Dean of the College of Engineering. "Through this exciting and informative lecture, the Purdue community will have the opportunity to learn more about Professor Aspect's pioneering, game-changing work in a field that has revolutionized our thinking about quantum physics and technology—and incidentally in the same field that had been famously questioned years ago by Einstein, who called it 'spooky action at a distance.'"

ADDITIONAL INFORMATION

• Alain Aspect: Université Paris-Saclay
• 2022 Nobel Prize in Physics: Entangled states -- from theory to technology
• Nobel Prize in Physics 2022 Lecture by Alain Aspect

Based on the theory of physics known as quantum entanglement, when a system is split into two, the properties of the two new sub-systems remain connected, as if by an invisible piece of string, regardless of how far apart they are. In 1981, Aspect and his team proved the phenomenon in a laboratory experiment for the first time.

In their groundbreaking experiment, Aspect and collaborators Philippe Grangier, Jean Dalibard and Gérard Roger examined two photons—units of light—with opposite polarizations that were emitted from a heated calcium source. Each photon traveled toward a polarizer 40 feet away. The time for light and any signal to travel between the two polarizers was 40 nanoseconds. Switches would send the photons between the pair of polarizers every 10 nanoseconds.

Essential to their experiment, each polarizer was independent of the other because no signal could travel between the two. The test's success settled a 60-year-old debate between Einstein and Denmark's Niels Bohr, one of the fathers of quantum physics. Bohr believed in the theory of quantum entanglement, but Einstein—whose original research helped predict the phenomenon—famously argued against it.

The results of the study led by Aspect were published in their seminal paper in Physics Review Letters in July 1982.

The independent work by Aspect and his Nobel colleagues Clauser and Zeilinger collectively addressed scientific questions that were investigated during the 1960s. Northern Irish physicist John Stewart Bell had sought to understand what entanglement's "spookiness" implies about the fundamental nature of reality.

At the same time, while scientists today still debate what is fundamentally occurring during the measurement of entangled particles, Aspect's trailblazing experiment demonstrated that it does so within the boundaries of existing quantum theory. That will be the focus of Aspect's talk at Purdue.

"As pointed out by Einstein and confirmed by the violation of Bell's inequalities, entanglement of separated particles is an extraordinary feature of quantum mechanics, suggesting some kind of non-locality. It is now used in quantum technologies," Aspect said in describing the subject of his Purdue lecture. "After recalling what are Bell's inequalities and their experimental tests, I will show how the notion of non-locality provides fruitful intuitions for some quantum communication methods."

Aspect is a member of several academies in France, Austria, the United States, England, Italy and Belgium. In addition to the Nobel Prize in 2022, he has received the CNRS Gold Medal (2005), the Wolf Prize in physics (2010), the Niels Bohr Gold Medal and the Albert Einstein Medal (2012), and Optica's Ives Medal/Quinn Prize of the OSA and the Balzan Prize in quantum information processing and communication (2013).

He received a bachelor's degree from the École Normale Supérieure de Cachan, passing his civil service examination in physics in 1969. Continuing his studies in physics, he attended the Université d'Orsay, receiving a master's degree in 1971 and a PhD in 1983. Aspect performed his national service as a teacher in Cameroon from 1971-74 before starting his PhD and taking a lecturer position at the École Normale Supérieure de Cachan in Paris in 1974.

For his graduate research, Aspect developed experiments to test contemporary thinking about entangled photons. In 1985, he joined Claude Cohen-Tannoudiji’s laboratory at the Collège de France in Paris to work on pioneering experiments on laser cooling of atoms, with Jean Dalibard and Christophe Salomon. He then was appointed a CNRS senior scientist at the Charles Fabry Laboratory at the Institut d’Optique Graduate School on the Université Paris-Saclay campus, serving as a professor and head of the atom optics group, and also as a professor in the École Polytechnique.

About Purdue University

Purdue University is a public research institution demonstrating excellence at scale. Ranked among top 10 public universities and with two colleges in the top four in the United States, Purdue discovers and disseminates knowledge with a quality and at a scale second to none. More than 105,000 students study at Purdue across modalities and locations, including nearly 50,000 in person on the West Lafayette campus. Committed to affordability and accessibility, Purdue's main campus has frozen tuition 13 years in a row. See how Purdue never stops in the persistent pursuit of the next giant leap—including its first comprehensive urban campus in Indianapolis, the new Mitchell E. Daniels, Jr. School of Business, and Purdue Computes—at https://www.purdue.edu/president/strategic-initiatives.

About Purdue's College of Science

Purdue University’s College of Science is committed to the persistent pursuit of the mathematical and scientific knowledge that forms the very foundation of innovation. More than 350 tenure-track faculty conduct world-changing research and deliver a transformative education to more than 6,000 undergraduates and 1,750 graduate students. See how we develop practical solutions to today’s toughest challenges with degree programs in the life sciences, physical sciences, computational sciences, mathematics, and data science at  www.purdue.edu/science .

Writer and media contact: Phillip Fiorini, [email protected] , 765-430-6189

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Research Scientist (Research, Cancer Genetics and Pharmacology)

• Conducts in vitro cancer genetics and pharmacology studies using enzymes, cell lines, and tissues.
• Conducts in vivo cancer genetics and pharmacology studies using mice and rats.
• Operates and maintains instruments.
• Performs other job-related duties as assigned.
• Molecular cloning, cell culture and animal skills.
• Technical and functional principles and procedures.
• Microsoft Office Professional or similar applications.
• Demonstrates an understanding of the rules, procedures and operations of the laboratory.
• Detail oriented.
• Problem-solving and decision-making.
• Multitasking and time management.
• Both verbal and written communication.
• Operate and maintain instruments.
• Performs tasks and duties under general supervision, using established procedures and some innovation.
• Choose alternatives to resolve problems.
• Use independent judgment required to complete work assignments.
• Cover Letter/Letter of Application
• Official Transcripts
• Other Document
• Reference Letter 1
• Reference Letter 2
• Reference Letter 3

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New machine learning algorithm promises advances in computing

Digital twin models may enhance future autonomous systems.

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.

Using machine learning tools to create a digital twin, or a virtual copy, of an electronic circuit that exhibits chaotic behavior, researchers found that they were successful at predicting how it would behave and using that information to control it.

Many everyday devices, like thermostats and cruise control, utilize linear controllers -- which use simple rules to direct a system to a desired value. Thermostats, for example, employ such rules to determine how much to heat or cool a space based on the difference between the current and desired temperatures.

Yet because of how straightforward these algorithms are, they struggle to control systems that display complex behavior, like chaos.

As a result, advanced devices like self-driving cars and aircraft often rely on machine learning-based controllers, which use intricate networks to learn the optimal control algorithm needed to best operate. However, these algorithms have significant drawbacks, the most demanding of which is that they can be extremely challenging and computationally expensive to implement.

Now, having access to an efficient digital twin is likely to have a sweeping impact on how scientists develop future autonomous technologies, said Robert Kent, lead author of the study and a graduate student in physics at The Ohio State University.

"The problem with most machine learning-based controllers is that they use a lot of energy or power and they take a long time to evaluate," said Kent. "Developing traditional controllers for them has also been difficult because chaotic systems are extremely sensitive to small changes."

These issues, he said, are critical in situations where milliseconds can make a difference between life and death, such as when self-driving vehicles must decide to brake to prevent an accident.

The study was published recently in Nature Communications.

Compact enough to fit on an inexpensive computer chip capable of balancing on your fingertip and able to run without an internet connection, the team's digital twin was built to optimize a controller's efficiency and performance, which researchers found resulted in a reduction of power consumption. It achieves this quite easily, mainly because it was trained using a type of machine learning approach called reservoir computing.

"The great thing about the machine learning architecture we used is that it's very good at learning the behavior of systems that evolve in time," Kent said. "It's inspired by how connections spark in the human brain."

Although similarly sized computer chips have been used in devices like smart fridges, according to the study, this novel computing ability makes the new model especially well-equipped to handle dynamic systems such as self-driving vehicles as well as heart monitors, which must be able to quickly adapt to a patient's heartbeat.

"Big machine learning models have to consume lots of power to crunch data and come out with the right parameters, whereas our model and training is so extremely simple that you could have systems learning on the fly," he said.

To test this theory, researchers directed their model to complete complex control tasks and compared its results to those from previous control techniques. The study revealed that their approach achieved a higher accuracy at the tasks than its linear counterpart and is significantly less computationally complex than a previous machine learning-based controller.

"The increase in accuracy was pretty significant in some cases," said Kent. Though the outcome showed that their algorithm does require more energy than a linear controller to operate, this tradeoff means that when it is powered up, the team's model lasts longer and is considerably more efficient than current machine learning-based controllers on the market.

"People will find good use out of it just based on how efficient it is," Kent said. "You can implement it on pretty much any platform and it's very simple to understand." The algorithm was recently made available to scientists.

Outside of inspiring potential advances in engineering, there's also an equally important economic and environmental incentive for creating more power-friendly algorithms, said Kent.

As society becomes more dependent on computers and AI for nearly all aspects of daily life, demand for data centers is soaring, leading many experts to worry over digital systems' enormous power appetite and what future industries will need to do to keep up with it.

And because building these data centers as well as large-scale computing experiments can generate a large carbon footprint, scientists are looking for ways to curb carbon emissions from this technology.

To advance their results, future work will likely be steered toward training the model to explore other applications like quantum information processing, Kent said. In the meantime, he expects that these new elements will reach far into the scientific community.

"Not enough people know about these types of algorithms in the industry and engineering, and one of the big goals of this project is to get more people to learn about them," said Kent. "This work is a great first step toward reaching that potential."

This study was supported by the U.S. Air Force's Office of Scientific Research. Other Ohio State co-authors include Wendson A.S. Barbosa and Daniel J. Gauthier.

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Story Source:

Materials provided by Ohio State University . Original written by Tatyana Woodall. Note: Content may be edited for style and length.

Journal Reference :

• Robert M. Kent, Wendson A. S. Barbosa, Daniel J. Gauthier. Controlling chaos using edge computing hardware . Nature Communications , 2024; 15 (1) DOI: 10.1038/s41467-024-48133-3

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Summer Research Assistant - Chen Lab

Categories: Research

Department: Biomedical Sciences

• Grand Forks, North Dakota, United States
• Institutional Student
• Closing on: May 14 2024

Salary/Position Classification

• $15.00 Hourly, Non-Exempt (Eligible for overtime)
• Up to 40 hours per week
• 100% Remote Work Availability: No
• Hybrid Work Availability: No

Purpose of Position

Assist biomedical research conducted in Dr. Chen's laboratory at the UND School of Medicine and Health Sciences.

Duties & Responsibilities

• Duties to be assigned include (but not limited to): Preparing reagents, solutions, and biological samples; Assisting with research assays and performing research assays to produce reliable and precise data to support scientific investigations. 

Required Competencies

• Good communication skills
• Ability to work individually and with others
• Must follow laboratory safety procedures

Minimum Requirements

• Current UND graduate student with no summer assistantship
• Successful completion of a Criminal History Background Check

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the US and to complete the required employment eligibility verification form upon hire.  This position does not support visa sponsorship for continued employment.

Preferred Qualifications

• Prior lab experience.
• Submit a resume and/or CV

For full consideration, all application materials must be fully submitted by 11:55PM CST on the closing date. Student job openings are posted for a minimum of 3 business days.

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Other UND Career Openings

Stem research assistant (cemri), nature camp mentor - june 3-14, app developer, additional information.

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All information listed in this position announcement will be used by Human Resources, the Hiring Department, and EO/Title IX for screening, interviewing and selection purposes.

Please email the Human Resources Department at  [email protected] or contact us by phone at 701-777-4226. If you anticipate needing any type of accommodation to participate in any portion of the University's employment process, including completion of the online application process, please contact our office in advance of your participation or visit. 

Veteran’s Preference

Veterans claiming preference must submit all proof of eligibility by the closing date. Proof of eligibility includes a copy of NGB 22 from National Guard or Reserve (with a unit located in ND) or certification from the applicant's unit command that the individual is expected to be discharged or released from active duty in the uniformed services under other than dishonorable conditions not later than one hundred twenty days after the date of the submission of the certification. If claiming disabled status, proof of eligibility includes a DD-214 and a current letter of disability. 

Confidentiality of Application Materials

Pursuant to NDCC 44-04-18.27, applications and any records related to the applications that identify an applicant are confidential, except records related to the finalists of the position, which are open to the public after the search committee has identified the top three or more finalists who will be invited to campus.

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The University of North Dakota is an Affirmative Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or other protected characteristic. Women, minorities, veterans, individuals with disabilities, and members of other underrepresented groups are especially encouraged to apply. Applicants are invited to provide information regarding their gender, race and/or ethnicity, veteran’s status and disability status as part of the application process. This information will remain confidential and separate from your application.

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In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, the University of North Dakota publishes an Annual Security and Fire Safety Report. The report includes the university’s policies, procedures, and programs concerning safety and security, as well as three years of crime statistics for our campus. As a prospective employee, you are entitled to a copy of this report. The report and statistical data can be found online at UND.edu. You may also request a paper copy of the report from the UND Police Department located at 3851 Campus Road, Grand Forks, ND, 58202.

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