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Assistant/Associate Professor - Industrial and Systems Engineering

North Carolina Agricultural and Technical State University
North Carolina, United States
Salary Not specified
Date posted
Jul 26, 2023
The Industrial and Systems Engineering (ISE) Department and the College of Engineering at North Carolina Agriculture and Technical State University (NCAT) invites applications for a full-time, Assistant Professor (9-month tenure track) position with an anticipated starting date of August 13, 2023. The successful candidate 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; bring pedagogical skills to teach undergraduate and graduate courses; supervise MS and PhD theses; and provide service to the university and its units, to the state and regional community, as well as to the appropriate professional organizations.

We are specifically looking for candidates with strength in smart manufacturing system and application of advanced statistical methods with applications of big data analytics, AI, and Machine Learning in digital manufacturing systems. Candidates with strong research interest in advanced manufacturing systems and related areas are encouraged to apply. Candidates are required to have strong skills and research interests in one or more of the following areas: advanced manufacturing (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), statistical and probabilistic modeling, prognostic health management, big data integration (data fusion) of heterogenous data, data visualization, and simulation in manufacturing systems. Experience in data analytics (including heterogeneous longitudinal and time-event data), artificial intelligence, and machine learning with applications in smart manufacturing systems, or cyber-physical systems is highly preferred

The successful candidate will have an opportunity to participate in emerging research collaborations across campus on 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.

Based on a candidate's qualifications, appointment at a higher level may be considered.

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