Postdoctoral Researcher in AI Planning for Field Robots | Durham, New Hampshire, United States | University of New Hampshire

Position:	Postdoctoral Researcher in AI Planning for Field Robots
Institution:	University of New Hampshire
Location:	Durham, New Hampshire, United States
Duties:	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 Alzheimer’s 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)
Requirements:	Hold a PhD in Computer Science, Robotics, or related disciplines

Text:	Skip to Main Content University System of New Hampshire Toggle navigation Home Search Jobs Log In /Create Account Help USNH System Office Positions Applicant FAQs About USNH Postdoctoral Researcher in AI Planning for Field Robots For optimal experience, internal candidates should use their USNH username and password when applying for open positions. Bookmark this Posting \| Print Preview \| Apply for this Job Please see Special Instructions for more details. INTERFOLIO USERS : If using Interfolio to submit letters of reference, please follow the special instructions at this link: https://pa-hrsuite-production.s3.amazonaws.com/2729/docs/126635.pdf . Instructions for reference providers can be access at: https://support.interfolio.com/m/29600/l/266335-submit-a-letter-of-recommendation-to-interfolio. Position Details Summary Operating Title Postdoctoral Researcher in AI Planning for Field Robots Long Classification Title Campus Location Durham Department UNH CEPS Computer Science Summary of Position 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 Alzheimer’s 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. Additional Job Information Applicants must submit a cover letter, complete CV, diversity statement, and contact information for three professional references. UNH is a federal contractor within the meaning of the Executive Order on Ensuring Adequate COVID Safety Protocols for Federal Contractors. This position may require that you be vaccinated against COVID -19 in the future, unless you apply for and receive a religious or medical exemption. You may not test out of this requirement. Posting Number PF0714FY23 Acceptable Minimum Qualifications 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) Additional Preferred Qualifications Salary Information Salary is complemented by a comprehensive benefits package which includes medical, dental, retirement, tuition, and paid time off. Quick Link to Posting https://jobs.usnh.edu/postings/51942 Percent Time Information (FTE) 1 Faculty Information Number of Years (list number of years below) If Renewable or Number of years, please specify 1-year position Type of Position Post Doctorate Posting Details Posting Date 10/28/2022 Open Until Filled Yes Closing Date Interested Internal Candidates Exist? No Appointment Type Post Doc If TERM position with benefits, indicate projected end date Departmental Information This position is responsible for the supervision of Does not supervise Special Requirements A background check will be required as a condition of employment. EEO Statement The University System of New Hampshire is an Equal Opportunity/Equal Access/Affirmative Action employer. The University System is committed to creating an environment that values and supports diversity and inclusiveness across our campus communities and encourages applications from qualified individuals who will help us achieve this mission. The University System prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status. Special Instructions to Applicants INTERFOLIO USERS : If using Interfolio to submit letters of reference, please follow the special instructions at this link: https://pa-hrsuite-production.s3.amazonaws.com/2729/docs/126635.pdf . Instructions for reference providers can be access at: https://support.interfolio.com/m/29600/l/266335-submit-a-letter-of-recommendation-to-interfolio. Institution Information Duties / Responsibilities Job Duties Supplemental Questions Required fields are indicated with an asterisk (*). Documents Needed to Apply Required Documents Resume/Vita Cover Letter Diversity Statement Optional Documents University System of New Hampshire System Office USNH Privacy Policy 5 Chenell Drive, Suite 301, Concord, NH 03301 Copyright © 2015 University System of New Hampshire. All Rights Reserved TTY Users: 7-1-1 or 800-735-2964 (Relay NH) ")); To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . Any data not saved will be lost. 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