[agents] Post-Doc position at CMU in Learning, multi-robot systems, & human-machine teaming

[Michael Lewis]

*Postdoctoral Fellow Position at Carnegie Mellon University *

*Deep Reinforcement Learning techniques for multi-robot systems and
human-         machine teaming*


*OPEN POSITION:* A postdoctoral fellow position  at Carnegie Mellon
University

*SUPERVISOR:*
Prof. Katia Sycara (katia at cs.cmu.edu)
The Robotics Institute, Carnegie Mellon University
Website: http://ri.cmu.edu/ri-faculty/katia-sycara

*LOCATION:*
The Advanced Agent-Robotics Technology Lab
The Robotics Institute, Carnegie Mellon University
Pittsburgh, Pennsylvania, USA

*DESCRIPTION:*
The successful candidate will work on Deep Reinforcement Learning
algorithms for single and preferably multi-robot/swarm planning interacting
autonomously or with humans. The position is expected to be filled before
January 2020  but the start date is negotiable. The expected duration of
the position is one to two years with renewals upon review.

*QUALIFICATIONS:*
- PhD in a field related to robotics and/or AI.
- A strong theoretical background in Machine Learning, multi-agent
planning, decision-making under uncertainty, swarm robotics, and/or
human-robot interaction
- Programming skills including experiences using C++, Python, and/or
MATLAB, Neural Network programming tools, eg pytorch
- Ability to present work clearly both written and orally
- Experiences with ROS and deep learning.

*APPLICATION DETAILS:*
Applicants should provide the following material via email to Prof. Katia
Sycara (katia at cs.cmu.edu). Please use the subject line: “Postdoc
application”. Applications will be reviewed as they are received.
- A curriculum vitae
- A statement of research expertise and interests  (up to 2 pages)
- Up to 3 publications
- Names and contact information of three references
- Dates of availability
- A personal website, if available, where further details can be found



*DUTIES AND RESPONSIBILITIES*



The postdoc will (a) carry out high quality research and publish the
research results, (b) assist in research supervision and guidance of
graduate and undergraduate students, (c) present research results to
sponsors, (d) participate in research proposal preparation.
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