Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training

Department/Area

Computer Science Position Description We invite applications for a Fellow to work with Assistant Professor Kianté Brantley at Harvard SEAS. 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, mentoring graduate students, and collaborating with other groups. Successful candidates will be self-motivated, have a strong work ethic, be technically skilled, and have strong oral and written skills. Start dates are flexible, but the positions will be filled as soon as possible and will initially be for 6 months, renewable for an additional...

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