AI Postdoctoral Research Fellow - Natural and Artificial Minds

AI Postdoctoral Research Fellow - Natural and Artificial Minds

Location: Princeton

Salary Range or Pay Grade: $100,000 a year

Princeton University is seeking to hire an AI Postdoctoral Research Fellow to join the Natural and Artificial Minds (NAM) research initiative. NAM Fellows will take advantage of advances in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. NAM Postdoctoral Research Fellows will have access to the Princeton AI GPU cluster (300 H100s).

Candidates should have a Ph.D. or doctorate degree in cognitive science, psychology, computer science, philosophy, or a related discipline, and have a strong interest and track record in designing, understanding, or engineering of AI models or methods and their applications in cognitive science.

AI Postdoctoral Research Fellows joining the NAM initiative will contribute to one or both current core projects, "Explanation and Intelligibility" or "Developing and Testing AI Models of Human Cognitive Function." Candidates can read more about these core projects at (Use the "Apply for this Job" box below)..

Postdoctoral Research Fellows will be appointed through Data and Intelligent Systems (DaIS) and will receive a competitive salary, benefits, office space and equipment, dedicated compute resources, and annual research support. Appointments will be made at the Postdoctoral Research Associate rank. Postdoctoral appointments will be for one year, renewable annually based on funding and meeting all other requirements.

Candidates are encouraged to apply by the start-of-review date, December 31, 2026 to guarantee consideration, but some applications may be screened and processed before or after that at our discretion. The expected start date for this position is September 1, 2027. We are also open to considering candidates who are available to start before or after that date.

Princeton University places high value on in-person collaborations and interactions, and we expect selected candidates to participate in-person. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy.

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.

To learn more about Princeton Data and Intelligent System, please visit  If you have any questions about this position or the application process, please feel free to contact us at nam-ai.

Applicants must have (or expect to have at the time of appointment) a Ph.D.

Princeton 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.

The 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 see this link for more information.

PI

Equal employment opportunity, including veterans and individuals with disabilities.