Postdoctoral Research Associate in Theoretical Computer Science and Theoretical Machine Learning
Listed on 2026-09-12
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Research/Development
Postdoctoral Research Fellow
The Department of Computer Science at Princeton University is seeking applications for postdoctoral or more senior research positions in theoretical computer science and theoretical machine learning. The term of the appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments.
Anticipated start date is in September 2027.
This position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsor ships (including H-1B visas not requiring consular processing) may be available, as appropriate.
QualificationsCandidates must have a PhD in Computer Science or a related field.
This position is subject to the University's background check policy.
Equal Employment Opportunity StatementPrinceton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Pay Transparency DisclosureThe University considers factors such as (but not limited to) the scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
- The University also offers a comprehensive benefits program to eligible employees. Please link to https://hr.princeton.edu/thrive/health for more information.
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