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Assistant / Associate / Full Professor

University of North Carolina at Charlotte
Charlotte, NC
Closing date
Feb 15, 2024

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Organization Type
Position Number: 004502, 004503

Department: College of Engineering (Col)

Employment Type: Permanent - Full-time

Months Per Year: 9

Essential Duties and Responsibilities:

In response to the State of North Carolina's initiative to "engineer a smart and secure future", the William States Lee College of Engineering (LCoE) at the University of North Carolina at Charlotte is seeking applications for multiple full-time tenure-track positions at all academic ranks. Successful candidates will contribute to the overarching initiative, with preference given to those conducting research in the areas of transportation and advanced mobility, or smart and sustainable cities. We are particularly interested in those with experience in leveraging artificial intelligence, machine learning, big data, cloud/edge computing, cybersecurity, etc. to address today's engineering challenges. Potential specific domain areas include; intelligent vehicles and electrification, simulation and calibration of large-scale and complex transportation systems, distributed self-aware systems for smart city applications, and vehicle to infrastructure communications.

As these positions are part of a larger $40+ million investment by the State of North Carolina and the University, successful candidates are expected to benefit from collaborative opportunities arising from recent hires with share interests within the College of Computing and Informatics ( CCI ) and the School of Data Science ( SDS ). This large initiative also encompasses the design and construction of state-of-the-art facilities, acquisition of advanced equipment, and growth of several University undergraduate and graduate programs.

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:

Applicants must hold a Ph.D. degree in an appropriate engineering discipline or another closely related field and have a background aligning with one of the listed research foci. In addition, they must demonstrate significant accomplishments or outstanding potential in scholarship, teaching, and research, corresponding to the rank of appointment. Successful candidates are expected to: 1) develop and sustain nationally and internationally recognized, externally funded research programs as evidenced by high-quality publications and successful mentoring of students; 2) contribute to teaching and course development at both the graduate and undergraduate levels; and 3) demonstrate an ability to engage in an inclusive environment.

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