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Postdoctoral Researcher in AI Planning for Field Robots
Job Description
Details
Posted: 30-Oct-23
Location: Durham, New Hampshire
Salary: Open
Categories:
Academic/Faculty
Internal Number: PF0714FY23
Professor Momotaz Begum is looking for a highly motivated postdoctoral researcher to work on an NIH R01 funded project on robot-assisted aging-in-place for older adults with Alzheimerâs dementia. The successful candidate will work with an interdisciplinary group of researchers consisting of roboticists and aging experts to develop an AI Planning framework (using PDDL and ROSPlan) for deploying in a commercially available ground robot (e.g., Fetch base, Clearpath Husky, or Locus Origin). The candidate will primarily work at the Cognitive Assistive Robotics lab (http://carl.cs.unh.edu/) and will have the opportunity to advance research on merging classical AI planning with imitation learning with an overarching goal of field deployment.The candidate will have the opportunity to do fundamental research on merging classical AI planning with imitation learning with an overarching goal of deployment in the wild. The position is for 1 year, with a strong possibility of a 2nd year extension. We offer competitive salary and benefit.
An ideal candidate will:Hold a PhD in Computer Science, Robotics, or related disciplines,Have established track record in robot learning and/or AI planning research with publications in reputed venues such as ICRA, IROS, RSS, CoRL etc.Have strong experience with ROS (ROS1/ROS2)
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About University of New Hampshire (UNH)
The University of New Hampshire is an R1 Carnegie classification research institution providing comprehensive, high-quality undergraduate and graduate programs of distinction. UNH is located in Durham on a 188-acre campus, 60 miles north of Boston and 8 miles from the Atlantic coast, and is convenient to New Hampshire's lakes and mountains. There is a student enrollment of 13,000 students, with a full-time faculty of over 600, offering 90 undergraduate and more than 70 graduate programs. The University actively promotes a dynamic learning environment in which qualified individuals of differing perspectives, life experiences, and cultural backgrounds pursue academic goals with mutual respect and shared inquiry.
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