[robotics-worldwide] [jobs] PhD position in robot learning at the University of New Hampshire

Momotaz Begum mbegum at cs.unh.edu
Thu Nov 8 17:04:27 PST 2018

The Cognitive Assistive Robotics Laboratory (CARL) at the University  
of New Hampshire has one open PhD position in an NSF-NRI funded  
project on learning from demonstration. The goal of the project is to  
learn sequential tasks (both-high and low-level) from human  
demonstrations while accommodating inter- and intra-demonstration  
variations. The project involves working with high-precision IMUs and  
two collaborative robots (Sawyer and YuMi)
Successful candidates
a. should have a Master’s degree in robotics/AI/Machine  
learning/Computer vision or a related field. Experience with  
reinforcement learning algorithms/dynamic system-based trajectory  
learning approaches (e.g. DMPs, SEDs, etc.)/LfD algorithms is a strong  
b. should have strong analytical ability, interest in research, and  
programming experience (C++/Python/Java). Hands -on experience with  
robots/ROS is a plus
c. should have genuine interest to work with end-users of robotics  
systems (e.g. conducting HRI studies to test systems and algorithms  
with end users)

Interested students are encouraged to contact Prof. Momotaz Begum  
(mbegum at cs.unh.edu) with a detailed CV, a brief paragraph about  
research interest and any prior work/publications. Please write ‘PhD  
position at CARL’ as the subject line of your email.



Momotaz Begum
Assistant Professor
Computer Science Department
University of New Hampshire

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