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Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training

Harvard University
Location 📍 Cambridge, United States
Posted 📅 June 03, 2026
Work Type ⏰ Full-time

Position Overview

Details




Title Postdoctoral Fellow in Computer Science — From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Post‑Training

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

Department/Area Kempner Institute and Computer Science

Position Description
We invite applications for a Postdoctoral Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS and the Kempner Institute. The lab’s research focuses on improving the capabilities of foundation models using reinforcement learning—from theory to practice. This position will emphasize large‑scale reinforcement learning for post‑training, studying both practical and theoretical issues pertaining to post‑training techniques.


Successful candidates must be able to work as part of a team performing research to support the project. Additional responsibilities include preparing publications and reports, ment...

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Job Details

Employment Type
Full-time
📊
Category
other-general
🏠
Work Arrangement
On-site
📍
Location
Cambridge, United States