The University of Tennessee
Assistant Professor of Business Analytics
The University of Tennessee College of Business Administration invites applications and nominations for a tenure track, Assistant Professor position in the Department of Statistics, Operations, and Management Science. A primary research interest in developing analytic tools relevant to business is expected. Success publishing research in top journals is desired, along with an interest in collaboration with other College of Business colleagues and experience with finding solutions to business problems. Review of applications will begin in November 2013 and will continue until the position is filled. Effective date of employment will be August 1, 2014, or when filled. Compensation will be competitive.
Required: A Ph.D. degree in statistics or a related field with a focus on business analytics, as of the starting date of employment. Experience in applying analytics to real world problems.
Preferred: The ideal candidate will have: work experience in a business analytics role; knowledge of widely-used technologies in business analytics; commitment to a scholarly research record as evidenced by publications in top-tier journals; teaching experience; appreciation of the role of analytics in various business functions; ability to work well with college and department colleagues.
The Department of Statistics, Operations, and Management Science is one of six departments within the College of Business Administration at the University of Tennessee. The Department currently offers bachelors and masters degrees in Business Analytics and Ph.D. degrees in both Business Administration and Management Science, as well as a dual M.B.A./M.S. in Business Analytics in conjunction with the College's MBA program. We have been very successful in placing our students in organizations such as Capital One, Career Builders, Deloitte Consulting, Disney, dunnhumbyUSA, eBay, Ernst & Young, Exxon, Hanes, Home Depot, Regal Entertainment, State Farm, and Target. The department emphasizes working with business through 1) multiple capstone projects each semester with partner companies, 2) our Business Analytics Forum in which non-competing companies meet to share best practices, and 3) an active seminar series where we host business analytics professionals weekly. In spring 2012 the department hosted a national Business Analytics conference of business practitioners and academics. The faculty are active in publishing and numerous members serve on editorial boards. Faculty excellence has been recognized by national awards, including the Edelman Prize, Emerald Management Reviews Citation of Excellence, ASQ's Nelson Award, etc.
Research requirements include a strong and continuing record of publications in top-tier journals. Collaboration on research projects with other faculty and with students is expected. Also, the successful candidate will be expected to contribute to the teaching mission at the undergraduate, masters, and PhD levels. Finally, candidates would be expected to advise students and facilitate industry connections.
Qualified individuals should send a complete application package (in pdf format) to Professor Robert Mee, Chair of the Faculty Search Committee, c/o email@example.com. The application package should include a curriculum vita, evidence of successful prior teaching (course materials, teaching evaluations, etc.), a recent publication or working paper, a statement of their successes dealing with practical business projects, and contact information consisting of three (3) references. Letters of reference should be directed to Professor Mee at University of Tennessee, 916 Volunteer Blvd., 244 Stokely Management Center, Knoxville, TN 37996-0532. The search will remain open until the position is filled. For further information, please contact firstname.lastname@example.org.
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The University of Tennessee is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA institution in the provision of its education and employment programs and services. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, or covered veteran status.