DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA
POSITION: Post-doctoral fellow on Robotics, Multiagent Systems, and Reinforcement Learning
CONTACT: Prof. Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 USA p****e@cs.utexas.edu www.cs.utexas.edu/~pstone
Applications are invited for a postdoctoral fellow of one year, possibly renewable for additional years, in the Department of Computer Science in the Learning Agents Research Group headed by Prof. Peter Stone.
Primary responsibilities include performing cutting-edge research in collaboration with faculty, Ph.D. students, and other researchers.
The research will focus on developing and testing novel algorithms for in connection with a range of projects related to robotics and multiagent reinforcement learning. Motivating use cases include long-term autonomous service robots, robot soccer, and adaptive autonomous driving and traffic management.
QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience with machine learning and intelligent robotics is essential. Experience in deep reinforcement learning, multiagent systems, and/or ROS is desired.
TO APPLY: Applicants should send by email to p****e@cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found
This position is to start as early as September of 2022 or at any agreed upon later date. Applications will be reviewed as they are received.