Postdoctoral Research Associate

Application for Postdoctoral Research Associate

The Computer Science Department invites applications for postdoctoral research or more senior research positions to work on an interdisciplinary project exploring decision‑making in humans and AI systems and investigating the circumstances under which people will trust AI systems to make decisions on their behalf.

This collaborative project involves researchers at Princeton University (Tom Griffiths, Peter Henderson, Tania Lombrozo, Natalia Vélez), New York University (Mark Ho, Ilia Sucholutsky), Boston University (Josh Peterson), and Cornell University (Nori Jacoby). Opportunities will be provided to visit and collaborate with members of these research groups.

• Conduct original research on human–AI decision making and trust.
• Collaborate with faculty and graduate students across multiple institutions.
• Publish findings in peer‑reviewed journals and present at conferences.
• Engage in teaching or educational outreach as per departmental needs.
• Maintain a strong commitment to excellence in education.

• PhD in computer science, cognitive science, or a closely related field.
• Evidence of experience in scholarly research.
• Strong commitment to excellence in education.
• Excellent written and oral communication skills.
• Ability to work collaboratively with researchers across multiple institutions.

Postdoctoral rank appointments are for one year with the possibility of renewal pending satisfactory performance and continued funding. Senior research positions may be multi‑year appointments. The ideal start date would be between January 1 and September 1 2026.

Expected salary range: $78,000 – $90,000, commensurate with experience and qualifications.

Comprehensive benefits will be provided in accordance with university policy.

In‑person on campus at Princeton University.

Princeton University is an Equal Opportunity Employer. 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.