We are seeking a Pre-Doctoral Fellow to work with an assistant professor on enhancing large-scale foundation models through reinforcement learning, focusing on post-training techniques.
The role involves conducting research on theoretical and practical aspects, preparing publications, mentoring students, and collaborating with teams.
Candidates should have a BA/BS in computer science, applied physics, applied math, or related fields, with a strong research background demonstrated through publications or impactful projects.
Responsibilities include developing research projects, contributing to publications, and engaging in academic collaboration.
The position is initially 6 months, renewable, with a salary range of $50,000–$70,000.
Application requires a CV, reference letters, publication samples, and a research statement.
Harvard promotes equal opportunity and non-discrimination.