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Harvard University Postdoctoral Fellow in Artificial Intelligence for Society in Cambridge, Massachusetts


Title Postdoctoral Fellow in Artificial Intelligence for Society

School Harvard John A. Paulson School of Engineering and Applied Sciences

Department/Area Computer Science

Position Description

The Teamcore Group ( at the John A. Paulson School of Engineering and Applied Sciences ( SEAS ) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on projects on AI and multiagent systems research for societal impact. We focus on fundamental research problems in multiagent systems, machine learning, reinforcement learning, game theory, bandit algorithms driven by interdisciplinary collaborations in public health/conservation and public safety, ensuring a virtuous cycle of research and real-world applications. Researchers with expertise in multiagent systems, game theory, bandits, reinforcement learning and related topics will be the best fit for this position.

Applicants are asked to submit materials as soon as possible as applications will be reviewed on a rolling basis. This posting will remain open until the position is filled.

Basic Qualifications

Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.

Additional Qualifications

Special Instructions

Required application documents include a cover letter, cv, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted.

The cover letter should address what you hope to gain from your time in the Teamcore lab.

Contact Information

Hila Bernstein

Contact Email

Equal Opportunity Employer

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.

Minimum Number of References Required 3

Maximum Number of References Allowed 5


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