📍 Local Job Near You
Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
Harvard University
📍
Cambridge, United States
Location
Cambridge
Posted
June 20, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
Details
Title Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
School Harvard John A. Paulson School of Engineering and Applied Sciences
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...
Title Pre-Doctoral Fellow: Reinforcement Learning for Large Scale Foundation Model Post-Training
School Harvard John A. Paulson School of Engineering and Applied Sciences
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...