Tenure-track and non-tenure track Faculty Positions
Rutgers, The State University of New Jersey
Location: Piscataway, New Jersey
Type: Full Time
Required Education: Doctorate
Academic / College and University
The Department of Industrial and Systems Engineering (ISE) at Rutgers University is pleased to announce its search for two outstanding faculty hires; one tenure-track (Assistant/Associate professor) and one non-tenure track (Assistant Teaching Professor)with positions’ start date of Fall 2022. The ISE Department welcomes dynamic and engaging candidates who can bring diverse intellectual, geographical, gender and ethnic perspectives to the work and campus communities at Rutgers and the School of Engineering (SoE).
For the tenure track position, we are especially interested in candidates whose work contributes to advances in AI and optimization for complex human-machine system applications. Candidates with expertise in artificial intelligence, machine learning and optimization are especially encouraged to apply. Candidates must have demonstrated capability and interests in scientific contributions to at least one of the following areas: automation and AI-enabled decision sciences, robotics and autonomous systems, decision and control, and/or advanced simulations. All system application areas that constitute the use of AI and ML alongside human for planning, monitoring and control are welcomed. Candidates must have a Ph.D. in Engineering or related field and have excellent verbal and written communication skills. Successful candidate is expected to develop and lead an internationally recognized and externally funded research program, and to be willing to participate in multidisciplinary research and projects. Preferred rank is at the Assistant Professor level, however, applications at higher ranks will be considered for applicants with exceptional records.
The non-tenure track faculty position is a long-term, career-oriented position at the Assistant Teaching Professor rank with the possibility of reappointment and promotion through the university’s teaching faculty track. The main responsibilities of the position include teaching undergraduate and graduate courses in all areas of ISE, especially, capstone design, work design and ergonomics, automation, and more. Successful candidate is expected to develop new instructional materials and hands-on labs in human-AI systems, design and automation. Strong background in mechatronics and/or software engineering is a plus. Candidates must have a Ph.D. in Engineering and have excellent verbal and written communication skills.
Both candidates are expected to adopt innovative educational practices as they develop and teach graduate and undergraduate courses; advise and mentor graduate and undergraduate students; participate in local and external service activities and assist the department to achieve its strategic goals of establishing sustainable industry partnership in teaching and research.
Rutgers ISE is home to state-of-the-art labs in robotics and automation, energy, reliability, advanced manufacturing and security. ISE also has strong working relationships with many of research centers and institutions at Rutgers. The department is also developing a new lab on Human-AI systems. Interested candidates are encouraged to visit the ISE Department website ise.rutgers.edu and the School of Engineering website soe.rutgers.edu.