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the world's most pressing challenges. The PIIRS Postdoctoral Fellows Program is integral to that mission. We will award up to four postdoctoral fellowships to our 2027-28 cohort. PIIRS seeks recent PhDs in
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should have a PhD degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g
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to that mission. We will award up to four postdoctoral fellowships to our 2027-28 cohort. PIIRS seeks recent PhDs in the Social Sciences who have demonstrated exceptional scholarship, congruent with the Institute's
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education are encouraged to apply. PhD is expected by the start date. Applicants must apply online and are required to include curriculum vitae, cover letter, research statement and names and contact
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and collaborative research on the above topics. Preference will be given to candidates that have obtained their PhD within the last year. While this listing is open to all social science disciplines
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. Qualifications Required Qualifications PhD in Computer Science, Materials Science, Physics, Chemistry, Geosciences, or a related field. Strong background in machine learning, scientific computing, or computational
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://loogroup.princeton.edu/) is searching for a postdoctoral researcher interested in advancing the stability of perovskite solar cells. Applicants must have (or expect to have at time of appointment) a PhD in chemical
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Qualifications: PhD in a relevant discipline. Equal Employment Opportunity Statement Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment
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demonstrated through at least one first-author publication: machine learning/computer science, computational biology/bioinformatics, cheminformatics. Individuals should have or be expected to have a PhD with
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Department invites applications for postdoctoral and more senior research positions in two areas of computer science. 1) Quantum computing and quantum architecture and systems. 2) Reinforcement learning