Postdoctoral Research Fellow, Data and Intelligent Systems (DaIS)

Princeton University; Princeton (NJ); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Benefits

Office space and equipment

Dedicated compute resources

Annual research support

Job summary

Princeton University invites applications for a Postdoctoral Research Fellow in Data and Intelligent Systems (DaIS). This on-campus, in-person appointment offers a competitive salary, benefits, and access to world-class compute resources.

The role focuses on AI alignment, robustness, safety, and evaluation across language models, multimodal systems, and scientific AI, with opportunities for collaboration and leadership in responsible deployment.

Qualifications

• Ph.D. required or expected at the time of appointment.
• Experience in AI alignment research or related areas.
• Strong publication record and research impact preferred.

Responsibilities

• Advance AI alignment research within the DaIS group at Princeton University.
• Collaborate with faculty, researchers, and students on cutting-edge AI alignment projects.
• Publish findings in peer-reviewed venues and present at seminars and conferences.

Skills

AI Alignment

Robustness

Interpretability

Safety

Evaluation

Education

Ph.D.

Job description

Postdoctoral Research Fellow, Data and Intelligent Systems (DaIS)

Location: Princeton, NJ Salary Range or Pay Grade: $100,000

Description

Join Princeton AI Alignment and Safety (AIAS) to advance the frontier of AI Alignment as DaIS Postdoctoral Research Fellows at Princeton University.

DaIS Postdoctoral Research Fellows will be part of a dedicated research community that includes leading faculty, research fellows, scientists, software engineers, postdocs, and graduate students working at the forefront of AI alignment. Fellows will have access to a state-of-the-art Princeton AI GPU cluster to support large-scale experimentation and evaluation.

Ideal candidates will have a strong interest and demonstrated experience in AI alignment, including areas such as robustness, interpretability, safety, evaluation, and the alignment of advanced AI systems with human values. Research may span theoretical foundations, empirical methods, and system-level approaches to ensuring reliable and trustworthy AI. Ongoing work includes alignment challenges in language models, multimodal systems, code generation, and scientific AI, with an emphasis on safety, fairness, and responsible deployment.

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. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding.

Postdoctoral requirements: 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.

These positions are not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate.

To learn more about Princeton Data and Intelligent System, please visit https://dais.princeton.edu. If you have any questions about this position or the application process, please feel free to contact us at [e-mail].

Qualifications

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

Equal Employment Opportunity Statement

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.

Pay Transparency Disclosure

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.