The successful candidate for the Assistant Professor (9-month tenure track) position within the Industrial and Systems Engineering (ISE) Department and the College of Engineering at North Carolina Agricultural and Technical State University (NCAT) will be expected to establish and sustain a strong externally-funded research program in Industrial and Systems Engineering and produce an excellent record of scholarly publication; incorporate modern pedagogical skills in teaching undergraduate and graduate courses; supervise and support MS and PhD students; and provide service to the university and its units, to the state, regional and national communities, as well as to the appropriate professional organizations. The candidate is required to have strong skills and research interests in one or more of the following areas: advanced manufacturing (e.g., smart/digital manufacturing including system-level modeling and analysis, automation and process control; additive, nano and bio manufacturing; human-automation interaction and human-robot interaction; digital twins; Industry 4.0; and the security of cyber-physical industrial systems); reliability modeling of complex (infrastructure) systems, and/or big data integration (data fusion) of heterogeneous data. Experience in data analytics (including heterogeneous longitudinal and time-event data), artificial intelligence, and machine learning with applications in cyber-physical systems or large infrastructure systems is highly preferred. The successful candidate will have an opportunity to participate in emerging research collaborations across the College of Engineering in cyber security and resilience, energy and sustainability, healthcare applications, complex systems and networks, and data analytics with applications in cyber-physical systems or large infrastructure systems. Those that apply to this position will also be considered for an identical position (#001607) . These are tenure track Industrial Systems Engineering positions.
Minimum Qualifications:
Earned doctorate in Industrial and Systems Engineering, Systems Engineering, or a closely-related area by the anticipated date of appointment. An ability to contribute to the advanced manufacturing systems or data modeling and analysis of complex cyber physical (critical infrastructure) systems efforts within the department.
Position Number:
001604
Posting Date:
12/07/2021
Closing Date:
American Recovery & Reinvestment Act Funded:
No