Postdoctoral Fellow in Computer Science u2014 From ...

Details Title Postdoctoral Fellow in Computer Science u2014 From Theory to Practice: Reinforcement Learning for Large Scale Foundation Model Postu2011Training 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 Kiantu00e9 Brantley at Harvard SEAS and the Kempner Institute. The labu2019s research focuses on improving the capabilities of foundation models using reinforcement learningu2014from theory to practice. This position will emphasize largeu2011scale reinforcement learning for postu2011training, studying both practical and theoretical issues pertaining to postu2011training 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 one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related discipline. Additional Qualifications Individuals with a demonstrated track record in scientific research, which can be evidenced through publications, technical reports, or impactful software projects. Special Instructions A complete application must include a curriculum vitae, 2u20135 letters of reference, 2 publication samples, and a 1u20132u2011page research statement. In your cover letter, please also address the following supplemental questions: (1) What sorts of projects would you like to carry out in the lab? (2) What are your greatest strengths, and what areas would you like to improve? Contact Information Anana Charles, Faculty Coordinator Contact Email Salary Range $67,600 u2013 $91,826 Pay offered to the selected candidate is dependent on factors such as rank, years of experience, training or qualification, field of scholarship, and accomplishments in the field. Minimum Number of References Required 2 Maximum Number of References Allowed 3 Keywords Machine Learning Reinforcement Learning Foundational Models Post-Training Large Language Models EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvardu2019s academic purposes. Harvard has an equal employment opportunity ( policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the universityu2019s non-discrimination policy (. Harvardu2019s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination. Supplemental Questions

Created: 2025-12-05