Connectionists: Postdoc opportunity - UT Austin

[Peter Stone]

DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA


POSITION: Post-doctoral fellow on "Human-in-the-loop Machine 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 and Ph.D.  students.

The research will focus on developing human-in-the-loop machine learning
techniques for adaptive and interactive intelligent agents, with a focus
on unmanned ground vehicles in both indoor and outdoor
environments. Specifically, the goal is to develop a learning system
that can leverage multiple human feedback modalities (e.g.,
demonstration or critique) to create complex robot behaviors such as
context-aware navigation.


QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or
related field. Experience with machine learning, intelligent robotics,
and ROS is essential. Experience in deep reinforcement learning, and/or
human-robot interaction 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 March of 2018 or at any agreed
later date. Applications will be reviewed as they are received.