Postdoctoral Associate: Planning and Control for Collaborative Autonomy
The Department of Electrical and Computer Engineering at the University of New Mexico (UNM) invites applications for a Postdoctoral Associate with an anticipated start date of June 2018.
A postdoctoral position is available in the Hybrid Systems and Controls Laboratory (http://hscl.unm.edu) to work on projects funded by the NSF National Robotics Initiative (“NRI: Planning, collaborative guidance, and navigation in uncertain, dynamic environments”) and by Sandia National Laboratories (“Autonomous Sensor Tasking and Scheduling Across Multiple Platforms”). The postdoctoral associate will work with researchers in Electrical and Computer Engineering and Computer Science to develop theory and algorithms to enable collaborative autonomy in dynamic and uncertain environments. Researchers with interest and experience in optimization, hybrid systems and control, stochastic optimal control, reinforcement learning, planning, distributed systems, and human cyber-physical systems are encouraged to apply.
This is a benefits-eligible, one-year appointment that may be renewed for an additional year contingent upon satisfactory performance and availability of resources. No teaching is expected during the appointment. Salary is dependent upon experience and qualification.
How to apply
Interested candidates should provide a CV, a cover letter summarizing capabilities and interests, and contact information for three professional references. Questions can be directed to Prof. Meeko Oishi (email@example.com). Please apply through https://hr.unm.edu/unmjobs, requisition number req4163. Applications received by April 15, 2018 will receive full consideration, although the position will remain open until filled.
Applicants must have completed their Ph.D. by the time of appointment in engineering, computer science, mathematics, or a closely related field, and demonstrate excellent potential for research.
Desirable experience includes hybrid systems and control, optimization, stochastic optimal control, reinforcement learning, planning, distributed systems, human cyber-physical systems, and reachability analysis. Also preferred is demonstrated commitment to diversity, equity, inclusion, and student success, as well as working with broadly diverse communities.
UNM is New Mexico’s flagship institution and is located in Albuquerque, NM, USA, a metropolitan area of 650,000 that provides a wide variety of recreational and cultural opportunities. The surrounding area is renowned for outdoor activities including hiking, mountain biking, cycling, skiing, and others. The University of New Mexico is an Equal Opportunity/Affirmative Action employer and educator. Candidates from underrepresented groups are encouraged to apply. For additional information see http://www.unm.edu.