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Open Faculty Positions

Assistant Professor of Statistics, Data Science

Apply now Work type: University Tenure Line
Location: Stanford University
Categories: School of Humanities & Sciences

Assistant Professor, Stanford Data Science and
the Department of Statistics
Stanford University

Stanford Data Science and the Department of Statistics at Stanford University invite applications for a tenure-track Assistant Professor position in data science, focusing on the theory and practice of learning from data. The departmental home of the appointee is Statistics with a faculty scholar role in the new Stanford Data Science unit.

Applicants should exhibit the potential to run a world-leading independent research program and a commitment to teaching and mentoring. The successful candidate must have a Ph.D. in statistics, data science, computer science, mathematics, or a related discipline at the time of appointment and will be expected to teach and advise students at both the graduate and undergraduate levels. 

The successful candidate will be expected to contribute creatively and in depth to theoretical and applied data science through research, teaching and trainee mentorship. We are open to candidates working on a broad range of problems including but not limited to statistical methodology, applications, computation and theory. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to our rapidly growing institute and their home department.

Stanford Data Science, the Department of Statistics, and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include a diversity statement including a brief discussion of how their research, teaching and mentorship will further these ideals.

The Stanford community also values transparency and openness in science and encourages candidates to provide in their research statement a description of how these values are reflected in their work to date and their future research plans.

Further information on Stanford Data Science may be found at and information on the Department of Statistics at Inquiries may be directed to

Applicants should submit a cover letter, CV, 3-5 page statement of research accomplishments and plans, 1 page teaching statement, 1 page diversity statement (recommended), 2 representative publications, and arrange for at least 3 letters of recommendation to be submitted. The search committee will begin reviewing applications on November 15, 2022. Applications must be received by December 15, 2022 to be guaranteed consideration.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University’s research, teaching and clinical missions.

Advertised: Pacific Daylight Time
Applications close: Pacific Standard Time

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