stanford phd computer science salary

CS-PHD - Computer Science (PhD)

Program overview.

Doctor of Philosophy in Computer Science

The PhD degree is intended primarily for students who desire a career in research, advanced development, or teaching. For this type of work, a broad background in computer science and the engineering sciences and intensive study and research experience in a specialized area are the necessary requisites.

The degree of Doctor of Philosophy (PhD) is conferred on candidates who have demonstrated to the satisfaction of our department:

High attainment in a particular field of knowledge

Ability to do independent investigation and present the results of research.

They must satisfy the general requirements for advanced degrees, the program requirements specified, and the doctoral requirements for candidacy, as outlined in our department.

Guidelines for Reasonable Progress

By the end of the first academic year, you should align with a permanent advisor. Students are welcome to switch advisors, but a student should not have significant periods (after the first year) with no advisor.

A student must make satisfactory progress in their research, as determined by their advisor.

Three foundation/breadth requirements must be completed by spring quarter of the second year.

A student should meet the eligibility requirements and file for candidacy by the end of the second year in their program.

All courses need to be completed by the end of year three. Any deviation from this timeline must be approved in advance by the student advisor and the director of the PhD program.

By spring quarter of the third year, a student should pass a Qualifying Examination in the area of their intended dissertation.

Within one year of passing the Qualifying Examination, a student should form a Reading Committee and submit a signed Reading Committee Form to the PhD Student Services office at [email protected] .

By spring quarter of the fourth year, a student should schedule a Thesis Proposal with the reading committee members and submit the Thesis Proposal Form to the PhD student services office at [email protected] .

Admissions Information

PhD | Stanford Computer Science Admissions/Application Information

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Stanford University PhD in Computer Science

Computer Science is a concentration offered under the computer science major at Stanford University. Here, you’ll find out more about the major doctor’s degree program in computer science, including such details as the number of graduates, diversity of students, and more.

If there’s something special you’re looking for, you can use one of the links below to find it:

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Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.

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BS in Computer Science - Software Engineering

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How Much Does a Doctorate in Computer Science from Stanford Cost?

Stanford graduate tuition and fees.

In 2019-2020, the average part-time graduate tuition at Stanford was $1,207 per credit hour for both in-state and out-of-state students. The following table shows the average full-time tuition and fees for graduate student.

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MS in Information Technology - Software Application Development

Learn to manage the development process for a software program with this specialized online master's from Southern New Hampshire University.

Does Stanford Offer an Online PhD in Computer Science?

Online degrees for the Stanford computer science doctor’s degree program are not available at this time. To see if the school offers distance learning options in other areas, visit the Stanford Online Learning page.

Stanford Doctorate Student Diversity for Computer Science

Male-to-female ratio.

About 6.3% of the students who received their PhD in computer science in 2019-2020 were women. This is less than the nationwide number of 19.1%.

Racial-Ethnic Diversity

Of those graduates who received a doctor’s degree in computer science at Stanford in 2019-2020, 25.0% were racial-ethnic minorities*. This is higher than the nationwide number of 10%.

*The racial-ethnic minorities count is calculated by taking the total number of students and subtracting white students, international students, and students whose race/ethnicity was unknown. This number is then divided by the total number of students at the school to obtain the racial-ethnic minorities percentage.

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Email forwarding for @cs.stanford.edu is changing. Updates and details here . Looking for your W-2 form? Read Here . CS Commencement Ceremony June 16, 2024. Learn More .

PhD Admissions

Main navigation.

The Computer Science Department PhD program is a top-ranked research-oriented program, typically completed in 5-6 years. There are very few course requirements and the emphasis is on preparation for a career in Computer Science research.

Eligibility

To be eligible for admission in a Stanford graduate program, applicants must meet:

Applicants from institutions outside of the United States must hold the equivalent of a United States Bachelor's degree from a college or University of recognized good standing. See detailed information by region on Stanford Graduate Admissions website.
Area of undergraduate study . While we do not require a specific undergraduate coursework, it is important that applicants have strong quantitative and analytical skills; a Bachelor's degree in Computer Science is not required.

Any questions about the admissions eligibility should be directed to [email protected] .

Application Checklist

An completed online application must be submitted by the CS Department application deadline and can be found here .

Application Deadlines

The online application can be found here and we will only one admissions cycle for the PhD program per respective academic term.

Email forwarding for @cs.stanford.edu is changing. Updates and details here . Looking for your W-2 form? Read Here . CS Commencement Ceremony June 16, 2024. Learn More .

PhD | Program Requirements

Main navigation.

On average, the program is completed in five to six years, depending on the student’s research and progress. First-year students have the opportunity to rotate in three different labs before selecting their advisor.

The Computer Science Department also believes that teaching is an integral and important part of graduate-level education in Computer Science. In pursuing the PhD degree, students have clear and defined milestones that help guide them to the successful completion of their dissertation and oral defense. This includes a cumulative list of requirements to be completed in order for students to confer their PhD degree in Computer Science.

For any questions related to CS PhD milestone requirements, please email [email protected] .

CS300 Seminar
First-Year Research Rotation Program
Courses
Foundation & Breadth Requirements
Candidacy Requirement
Qualifying Examination
Teaching Requirements
Reading Committee

Thesis Proposal

Note : A student may go to TGR status after all the Ph.D. requirements above have been completed, and just their orals and dissertation submission remain, see Special Registration Statuses page.

University Oral Examination
Dissertation

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What’s Behind the Pay Gap in STEM Jobs?

Women are paid less than men for entry-level positions — and it has nothing to do with their skill sets.

February 19, 2021

An illustration of a woman standing at large gap at a train platform, while the men waiting at the platform face smaller gaps. Credit: Olivia Fields

Women entering STEM careers tend to earn less than men. New research shows that it’s a matter of confidence rather than competence. | Olivia Fields

Among the many devastating impacts of the coronavirus pandemic is the stark fact that working women have been disproportionately affected — with four times more women than men being pushed out of the labor force, according to one survey . As the pandemic erodes women’s progress in the workforce, addressing the inequalities they face from the start of their careers becomes ever more critical, beginning with equal pay.

Unfortunately, however, when it comes to working in engineering and tech — fields that offer the fastest growing and highest-paying jobs — an entry-level salary for a man is more than $4,000 higher than what’s paid to a woman with comparable credentials. So begins a salary gap that only widens over time, shrinking women’s savings and extending their debt burden.

Stanford researchers who studied this disparity discovered that there is in fact one credential that separates these new hires: self-confidence. Where one candidate guarantees he can prototype and problem solve, the second candidate expresses her doubts. Employers in engineering and computer science fields appear to offer higher starting salaries to applicants who present as self-assured, and those applicants are mostly men. This new research is the first to identify a link between confidence and a pay gap at the start of engineering and computer science careers.

“We see students who have taken four or five years of hard classes, some have done internships, but our data implies that employers are so swayed by the confidence with which these 22-year-olds are expressing what they can do,” says lead author Adina Sterling, an associate professor of organizational behavior at the Stanford Graduate School of Business.

I Believe, Therefore I Can

Overall, the team’s findings point to the hefty role that self-efficacy — a person’s belief in their capabilities — plays in persuading an employer which job candidate will be successful as an engineer, and which will not.

“Confidence is not the same as competency,” says study coauthor Sheri Sheppard , a Stanford professor of mechanical engineering. “If you’re judging somebody based on projected confidence, you’re losing out on hiring individuals who are going to be doggone good at the work.”

Backed by a grant from the National Science Foundation, the researchers surveyed 559 engineering and computer science students who graduated from more than two dozen U.S. institutions between 2015 and 2017. They found that women earned $61,000 in their first jobs compared to $65,000 for men, despite having the same degrees and grade point averages. According to the subjects’ answers to questions about their capabilities, the researchers concluded that 2% of the pay gap between men and women could be explained by a gap in self-confidence.

Compared to their male counterparts, women in the survey applying to engineering and computer science jobs reported feeling less sure of themselves when designing a new product or project, conducting experiments, building prototypes and models, as well as other skills hiring managers look for in potential employees. Yet, in actuality, these women possessed the same skills as the male applicants.

The Rising Toll of Losing Confidence

Data has shown that confidence in girls plummets in high school math and science classrooms, even as girls take as many credits as boys — and earn slightly higher grades, according to a 2007 report by the U.S. Department of Education. In addition, girls in high school and college are more critical of their math skills and hold themselves to higher standards. At Stanford, Sheppard notes, the top female students in her engineering classes describe feeling inadequate — also known as the imposter syndrome — every day.

Quote If you’re judging somebody based on projected confidence, you’re losing out on hiring individuals who are going to be doggone good at the work. Attribution Sheri Sheppard

That lack of self-confidence, prior to the Stanford study, had not been linked to early pay discrepancies. And its impact is significant: “The transition from school to work is unique in that if people can get on the right track, it propels you,” Sterling says. Which means that when women start out $4,000 behind their male counterparts, catching up is nearly impossible.

Sterling and her colleagues have a hunch as to why women end up with smaller paystubs. Women are less likely to negotiate a salary than men. And hiring managers may funnel women to lower paying positions. “Sometimes these career decisions are incremental,” says Sterling. “If you interview and then you get the job, you become an engineer. If you don’t, maybe you become a lower paid lab technician.”

The confidence gap can steer some women out of engineering and computer science fields altogether, positioning them to make even less. Women who go into education, for instance, earn up to $20,000 less annually than they would as an engineer, Sterling says.

Mind the Pay Gap Through a Growth Mindset

But her research and others’ may offer female job applicants in STEM fields a leg up. Stanford psychology professor Carol Dweck found that when a girl believes she can learn what she needs to know in science and math, she is more likely to succeed in a STEM field than if she believes a person is born with skills in those subjects. Professors can foster this growth mindset in their female students.

By contrast, Sheppard suggests that men risk feeling overconfident, and she hopes colleagues in engineering departments teach students more balanced self-reporting. “How do people learn to be right confident, the appropriate level, and represent themselves and their capabilities?” she asks. The goal should be that they “not oversell themselves.”

Recruiters also need to reevaluate how they evaluate candidates, Sheppard says. Employers may want to observe applicants performing tasks they’d need to do on the job.

Next, Sterling is studying how internships influence the gender pay gap. Preliminary evidence suggests that when women are given the chance to try out for an organization as interns, they receive higher starting salaries.

“Women are, in a lot of ways, told to discount their own opinions of themselves and to think about everybody else’s opinions of them,” Sterling says. But simply suggesting that women should be more confident doesn’t fly in her book.

Women would never choose to enter a job interview feeling hesitant, Sterling says. “Imposter syndrome is a horrible feeling.”

For media inquiries, visit the Newsroom .

Explore More

Do first-gen college grads face bias in the job market, equity by design: how diversity ignites creativity, a low-cost, scalable way to get more women into tech, editor’s picks.

November 06, 2017 What Internships Reveal About the Gender Pay Gap A careful study of internships suggests what can be done about the wage disparity among managers.

April 11, 2017 Can Job Referrals Improve Employee Diversity? New research looks at how referrals impact promotions of minorities and women.

September 08, 2015 Adina Sterling: What Your New Co-Workers Know About You Matters First impressions follow new hires into their tenure at a job.

The Confidence Gap Predicts the Gender Pay Gap Among STEM Graduates Adina Sterling Marissa Thompson Shiya Wang Abisola Kusimo Shannon Gilmartin Sheri Sheppard

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Life Science Research Professional 1

🔍 school of medicine, stanford, california, united states.

The Qiu Lab, within the Departments of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional experimentalists or technology developers. We welcome applicants with expertise in genomics, bioengineering, developmental biology, synthetic biology, or closely related fields. While our primary interest is in bachelor-degree level candidates, graduates and master's research assistants are also encouraged to apply. Successful candidates will demonstrate a solid grounding in molecular biology, single cell, multiomics, spatial genomics assays, genetic editing, and other pertinent experience areas, including cell culture, imaging, mouse work, Perturb-seq, lineage tracing, nanopore sequencing, cardiovascular diseases, and more. Our goal is to apply and develop next-generation experimental tools for emergent single cell and spatial genomics technologies, focusing on dissecting the molecular mechanism during development and diseases such as embryogenesis, hematopoiesis, heart organogenesis, and congenital heart disease. An ideal candidate will not only bring a rich experimental background but will also exhibit a collaborative spirit, enthusiasm for interdisciplinary research, and an appetite for pioneering new research domains in genomics.

The Qiu Lab at Stanford is a brand-new lab that previously made significant contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include Spateo: Qiu et al., bioRxiv, Stereo-seq: Chen et al., Cell, 2022; Dynamo: Qiu, Zhang, et al., Cell, 2022; Monocle 2: Qiu et al., Nature Methods, 2017a/b. We pride ourselves on our aptitude for developing innovative and foundational algorithms and software that combine advanced genomics approaches with advanced machine learning, dynamical systems, and other systems biology approaches to learn data-driven models to push the boundary of technology and biology and to eventually empower biologists to gain mechanistic and predictive insights of cell fate transitions in development and diseases. The chosen candidate will join a multidisciplinary team of biologists, engineers, machine learning experts, mathematicians, and physicists. We offer an enriching training environment where post-docs, students, and other members can grow into leaders in both academia and industry.

We offer a highly competitive salary, adjustable based on the candidate’s training level. The candidate will need to primarily work in the lab located in Stanford's picturesque main campus, which is also close to Silicon Valley, a hub for biotechnology, engineering, and computer science.

Stanford university is an equal opportunity employer. Diversity and inclusion are core values of Stanford and the University is committed to non-discrimination in employment.

Duties include:

Apply, optimize and develop single cell RNA-seq, metabolic labeling enabled scRNA-seq, Perturb-seq, multi-omics, long-read sequencing (nanopore, pacbio), STARmap, 10x Visium, Stereo-seq, or combinations of these technologies with other research assistants, graduate students, or Post-doc in human cells and/or in vivo models of disease
Evaluate and recommend new emerging technologies, approaches, and problems
Work with team members to develop, design, and carry out experiments that are essential to the group’s collective success
Interpret experimental results; document, summarize and present findings in individual and group meetings
Consult with team leader on priorities, methods, and timelines
Maintain a detailed organizational plan and record to ensure successful and timely completion of required tasks
Contribute to generation of protocols, publications, and intellectual property
Contribute to establishing laboratory protocols, setup, and standards for Qiu Lab

*- Other duties may also be assigned.

DESIRED QUALIFICATIONS:

Degree in biology or related field. Highly motivated candidates of all levels are encouraged to apply.
2+ years of experience in a research laboratory
Experience with single cell and spatial genomics, other standard molecular biology techniques, and mammalian cell culture
Strong technical knowledge and experience with molecular biology

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree in related scientific field.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
Demonstrated ability to apply theoretical knowledge of science principals to problem solve work.
Ability to maintain detailed records of experiments and outcomes.
General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
Ability to work under deadlines with general guidance.
Excellent organizational skills and demonstrated ability to accurately complete detailed work.

CERTIFICATIONS & LICENSES:

PHYSICAL REQUIREMENTS*:

Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds.
Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts.
Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls.
Must have correctible vision to perform duties of the job.
Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours.
Ability to lift heavy objects weighing up to 50 pounds.
Ability to work in a dusty, dirty, and odorous environment.
Position may require repetitive motion.

*- Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

May require working in close proximity to blood borne pathogens.
May require work in an environment where animals are used for teaching and research.
Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present.
Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator.
May require extended or unusual work hours based on research requirements and business needs.

WORKING STANDARDS:

Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/ .

The expected pay range for this position is $25.96 to $36.54 per hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Schedule: Full-time
Job Code: 4943
Employee Status: Regular
Department URL: http://genetics.stanford.edu/
Requisition ID: 102873
Work Arrangement : On Site

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Stanford School of Medicine

Life science research professional 1 (onsite) -genetics.

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The Qiu Lab, within the Departments of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional experimentalists or technology developers. We welcome applicants with expertise in genomics, bioengineering, developmental biology, synthetic biology, or closely related fields. While our primary interest is in bachelor-degree level candidates, graduates and master’s research assistants are also encouraged to apply. Successful candidates will demonstrate a solid grounding in molecular biology, single cell, multiomics, spatial genomics assays, genetic editing, and other pertinent experience areas, including cell culture, imaging, mouse work, Perturb-seq, lineage tracing, nanopore sequencing, cardiovascular diseases, and more. Our goal is to apply and develop next-generation experimental tools for emergent single cell and spatial genomics technologies, focusing on dissecting the molecular mechanism during development and diseases such as embryogenesis, hematopoiesis, heart organogenesis, and congenital heart disease. An ideal candidate will not only bring a rich experimental background but will also exhibit a collaborative spirit, enthusiasm for interdisciplinary research, and an appetite for pioneering new research domains in genomics.

We offer a highly competitive salary, adjustable based on the candidate’s training level. The candidate will need to primarily work in the lab located in Stanford’s picturesque main campus, which is also close to Silicon Valley, a hub for biotechnology, engineering, and computer science.