
Assistant Professor
University of North Carolina at Charlotte
Charlotte, NCFull-timeSeen 2 days agoSeen in employer's feed 2 days ago
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Job overview
The department seeks an Assistant Professor with expertise in electrical and computer engineering, focusing on robotics, controls, large‑scale and distributed systems, multi‑agent learning, and networked robotics, who will excel in teaching, research, student mentorship, and academic service.
Skills & qualifications
Skills
Qualifications
Full job description
Position Number: 004361
Department: College of Engineering (Col)
Employment Type: Permanent - Full-time
Months Per Year: 9
Essential Duties and Responsibilities:
Expertise in all areas of electrical and computer engineering, with particular emphasis Robotics and Controls; large-scale systems, distributed and decentralized decision making, multi-agent learning and coordination, safe and resilient control, and networked robotics.
Committed to excellence in teaching at the undergraduate and graduate levels, development of high-impact sponsored research programs, supervision of student research, student mentoring, and academic services. Develop and maintain original and promising research as demonstrated by peer-reviewed publications, potential for success in extramural funding, and a plan for future research that integrates well with existing and aspirational department strengths.
Minimum Experience / Education:
UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline.
Preferred Education Skills and Experience:
A PhD degree in Electrical or Computer Engineering or a related field is required by the time of contract.
Candidates with collaborative research focus are encouraged, especially related to smart and sustainable cities, transformational energy systems, transportation and advanced mobility, or digital manufacturing.
Priority will be given to candidates having original and promising research as demonstrated by peer-reviewed publications, potential for success in extramural funding, and a plan for future research that integrates well with existing and aspirational department strengths
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