Assistant/Associate Professor (Lecturer) in Mechanical Engineering

The University of Utah in Salt Lake City, UT

position filled
The Department of Mechanical Engineering at the University of Utah ( ) invites applications from candidates with significant teaching and industrial experience in the areas of Systems Engineering, Operations Research, Industrial Engineering or a related field as an assistant or associate professor career-line lecturing faculty appointment. Responsibilities The job duties for this position will include developing and implementing a systems and industrial engineering curriculum and program, including all aspects of teaching graduate and undergraduate courses via online, live, or hybrid modalities. Specific position duties include designing new courses as needed, providing curriculum material, constructing syllabi, leading class instruction, writing and administering exams, advising and evaluating students, serving on various faculty and student-oriented committees, and exhibiting participation and leadership in related professional societies. The candidate will be expected to both perform outreach activities to local industry to understand their needs and educational interests, and help lead systems and industrial engineering education efforts across the College of Engineering. Rank and salary will be commensurate with qualifications and experience. Candidates are expected to have earned a Ph.D. or Sc.D. in Mechanical Engineering or a closely related field prior to the start date. Requirements Required Qualifications Demonstrated excellent communication skills Minimum of three years of consulting or industry experience A demonstrated ability to engage with industry Demonstrated potential for high-quality online teaching both undergraduate and graduate courses Experience with quantitative methods and advanced analytics (descriptive and predictive) Preferred Qualifications We are seeking exceptional candidates in all areas of systems engineering and operations research. We are particularly interested in candidates with strong foundations in model-based systems engineering, data-driven decision making, optimization, stochastic modeling, machine learning, and analytics, with a focus in emerging areas of applications such as energy, sustainability, reliability, requirements engineering, cybersecurity, artificial intelligence, and autonomous and intelligent systems (A/IS). Experience in online course development and instruction in higher education with platforms such as Canvas or similar Learning Management Systems (LMS) Candidates with strong foundations in systems engineering methodologies, such as model-based systems engineering, systems architectures, and systems integration are particularly encouraged to apply. Demonstrated successful experiences in:A record of successful participation in the industrial community and/or professional societies teaching technical subjects employing active learning approaches performing curriculum, course, and lab development activities professional advising and mentoring effective engagement with individuals from diverse backgrounds and fields collaboration with industry

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