Position Description

The Harvard branch of the AI Institute in Dynamic Systems (http://dynamicsai.org/) invites applications for a postdoctoral fellowship in the multidisciplinary study of AI for dynamics and control, and in particular the safety, robustness, and scalability of reinforcement learning algorithms, and/or the learning of physically interpretable models of dynamic systems from data. The candidate will have opportunities to work collaboratively with a group of faculty from Electrical Engineering and Applied Mathematics (Na Li), Statistics and Computer Science (Lucas Janson), and Applied Mathematics and Applied Physics (Michael Brenner) on fundamental AI and machine learning theory, algorithms, and applications for real-time learning and control of complex dynamic systems. Candidates should suggest at least two of these faculty as potential advisors for their proposed research. The duration of the fellowship will be one year with the possibility of extending for an additional year.