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
[email protected]
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 [email protected]
- 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.
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