Assistant/Associate Professor - Probabilistic Machine Learning, Statler College of Engineering and

West Virginia, United States
Salary Not Specified
Sep 03, 2020
Employment Type
Full Time

The Department of Industrial and Management Systems Engineering (IMSE) at West Virginia University (WVU) invites applications and nominations for a faculty position at the level of Assistant/Associate Professor in Probabilistic Machine Learning. Anticipated start date is August 2021. The specific research areas of interest for this faculty position include but are not limited to the theory and practice of statistical analysis, data mining, machine learning, and artificial intelligence within application domains such as energy, logistics/supply chains, smart manufacturing, and health.

Qualifications :

Eligible candidates must hold at the time of appointment an earned doctorate in Industrial Engineering or a closely related engineering discipline, with at least one degree in Industrial Engineering. The successful candidates must have the ability to (1) develop and sustain an independent, nationally recognized, externally-sponsored research program, (2) teach lecture, laboratory or design courses at both the undergraduate and graduate levels, (3) collaborate within multi-disciplinary teams of faculty and other researchers across colleges and institutions, and (4) be engaged in professional activities. Candidates for the rank of Associate Professor must have an outstanding record of teaching, research and service.

West Virginia University is the comprehensive Land Grant University of the State of West Virginia with a main campus enrollment of over 29,000 students, and a Carnegie Classification of Highest Research Activity (i.e., R1 University). Morgantown and vicinity has a population of about 62,000 residents and is ranked among the most livable small cities in the country. The community lies within a high technology corridor that also includes several federal research facilities, such as the NASA's Independent Verification and Validation Facility (IV&V), U.S. Department of Energy's National Energy Technology Laboratory, the National Institute of Occupational Safety and Health (NIOSH), and the Federal Bureau of Investigation (FBI). The city is located within reasonable driving distances from Pittsburgh, PA and Washington, DC. Additional details on the area and the university are available at and .

The WVU Statler College currently has seven academic departments, over 4,200 students, and 135 faculty members with about 22 million in annual external research expenditures. The college is nationally recognized for high quality teaching and research as well as its excellent faculty and students. The IMSE Department has 11 faculty members, 320 undergraduate, and 120 graduate students. The Department offers degrees at the B.S., M.S., and Ph.D. levels.

Morgantown is a safe, inclusive, and family-friendly community. WVU provides faculty members with a supportive environment for developing a visible and productive career ( ) and a range of progressive policies to support work-life integration ( ). WVU also offers a Dual Career Program to assist partners in their career transition and job search and belongs to the OH/Western PA/WV Higher Education Recruitment Consortium ( ).

To apply for this opportunity, visit . Applicants must submit a letter of application, curriculum vitae, research statement, statement of teaching philosophy, and contact information for at least three professional references. Only candidates who submit complete documentation of professional quality will be considered in the review process. Review of applications will begin October 15, 2020. For further information, please contact Dr. Ashish Nimbarte, Chair of the Search Committee, by e-mail or visit our website at .

West Virginia University is proud to be an Equal Opportunity employer, and is the recipient of an NSF ADVANCE award for gender equity. The University values diversity among its faculty, staff, and students, and invites applications from all qualified applicants regardless of race, ethnicity, color, religion, gender identity, sexual orientation, age, nationality, genetics, disability, or Veteran status.

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