Assistant/Associate Professor - Industrial and Systems Engineering (Two Positions - 1607 & 2700)
- Employer
- North Carolina Agricultural and Technical State University
- Location
- North Carolina, United States
- Salary
- Salary Not specified
- Date posted
- Aug 11, 2022
View more
- Position Type
- Faculty Positions, Science, Technology & Mathematics, Biotechnology & Bioengineering, Computer Sciences & Technology, Engineering, Other Science & Technology, Statistics
- Employment Level
- Tenured/Tenured Track
- Employment Type
- Full Time
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The Industrial and Systems Engineering (ISE) Department and the
College of Engineering at North Carolina Agriculture and Technical
State University (NCAT) invites applications for full-time a
Assistant Professor (9-month tenure track) position with an
anticipated starting date of August 13, 2023. The successful
candidate(s) 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 advanced manufacturing and advanced statistical methods with applications of big data analytics, AI, and Machine Learning in modeling complex (infrastructure) systems, simulation, and risk and reliability analysis. Candidates with strong research interest in these 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 mining, data visualization and simulation, bioinformatics, and big data in manufacturing. Experience in data analytics (including heterogeneous longitudinal and time-event data), artificial intelligence, and machine learning with applications in cyber-physical systems, large smart infrastructure systems (such as energy, logistics, urban transit, etc.), and military applications 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.
Those who apply for this position (#1607) will also be considered for an identical position (#002700) . These are tenure track Industrial and Systems Engineering positions.
Based on a candidate's qualifications, appointment at a higher level may be considered.
We are specifically looking for candidates with strength in advanced manufacturing and advanced statistical methods with applications of big data analytics, AI, and Machine Learning in modeling complex (infrastructure) systems, simulation, and risk and reliability analysis. Candidates with strong research interest in these 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 mining, data visualization and simulation, bioinformatics, and big data in manufacturing. Experience in data analytics (including heterogeneous longitudinal and time-event data), artificial intelligence, and machine learning with applications in cyber-physical systems, large smart infrastructure systems (such as energy, logistics, urban transit, etc.), and military applications 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.
Those who apply for this position (#1607) will also be considered for an identical position (#002700) . These are tenure track Industrial and Systems Engineering positions.
Based on a candidate's qualifications, appointment at a higher level may be considered.
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