The successful candidate will be expected to develop a funded research program that
complements and supports multidisciplinary research efforts in transformational energy systems, transportation and advanced mobility,
digital manufacturing, and 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 advanced battery technologies, digital twinning in energy and manufacturing, 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.
Applicants must hold a Ph.D. degree in Engineering or another
closely related field, such as Computer Science and Statistics. Preferred applicants will have a background in data science and its
applications in one or more of the following areas: supply chain, health care, transportation, energy, and manufacturing. In addition, they
must demonstrate significant accomplishments or outstanding potential in scholarship, teaching, and research, depending on 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 curriculum
development at both the graduate and undergraduate levels; and 3) contribute to diversity initiatives at the University.
The
starting date for this position is August 2023. Review of applications begins immediately and continues until the position is filled. Only
electronic application submissions through https://jobs.charlotte.edu will be accepted. Please include a cover letter (that indicates how the candidate meets the
items identified in the advertisement), a curriculum vitae, a one-page statement of research, a one-page statement of teaching, and a list
of three references. For questions, contact: Systems Engineering Faculty Search Committee at [email protected].
We strongly support diversity among students and colleagues; therefore, we are actively seeking applicants who can contribute to the Department, College and University Diversity Plans. As an EOE/AA employer and an ADVANCE Institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups.
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