Connectionists: Postdoc opportunity - UT Austin

[Peter Stone]

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
	 pstone at 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 pstone at 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.