<div dir="ltr"><p class="" align="center" style="text-align:center"><b><i><span style="text-transform:uppercase">Position
Advertisement</span></i></b></p>
<p class="" align="center" style="text-align:center"><b><i> </i></b></p>
<p class="" align="center" style="text-align:center"><b><i><span style="font-size:10pt">The University of Tennessee</span></i></b></p>
<p class="" align="center" style="text-align:center"><b><i><span style="font-size:10pt">Assistant Professor of Business Analytics</span></i></b></p>
<p class="" align="center" style="text-align:center"><b><i><span style="font-size:10pt"> </span></i></b></p>
<p class=""><span style="font-size:10pt">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.</span></p>
<p class=""><span style="font-size:10pt"> </span></p>
<p class=""><b><i><span style="font-size:10pt">Qualifications</span></i></b></p>
<p class=""><u><span style="font-size:10pt">Required</span></u><span style="font-size:10pt">: 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.</span></p>
<p class=""><span style="font-size:10pt"> </span></p>
<p class=""><u><span style="font-size:10pt">Preferred</span></u><span style="font-size:10pt">: 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.</span></p>
<p class=""><span style="font-size:10pt"> </span></p>
<p class=""><b><i><span style="font-size:10pt">Program
Information</span></i></b></p>
<p class=""><span style="font-size:10pt">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. </span></p>
<p class=""><b><i><span style="font-size:10pt"> </span></i></b></p>
<p class=""><b><i><span style="font-size:10pt">Duties/Responsibilities</span></i></b></p>
<p class=""><span style="font-size:10pt">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.</span></p>
<p class=""><b><i><span style="font-size:10pt"> </span></i></b></p>
<p class=""><b><i><span style="font-size:10pt">Application
Procedure</span></i></b></p>
<p class=""><span style="font-size:10pt">Qualified
individuals should send a complete application package (in pdf format) to
Professor Robert Mee, Chair of the Faculty Search Committee, c/o </span><a href="mailto:analyticsfacultysearch@utk.edu"><span style="font-size:10pt;font-family:'Lucida Grande'">analyticsfacultysearch@utk.edu</span></a><span style="font-size:10pt">. 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 </span><a href="mailto:analyticsfacultysearch@utk.edu"><span style="font-size:10pt">analyticsfacultysearch@utk.edu</span></a><span style="font-size:10pt">.</span><span style="font-family:'Lucida Grande';color:black"></span></p>
<p class=""><span style="font-size:10pt"> </span></p>
<p class=""><b><i><span style="font-size:10pt"> </span></i></b></p>
<p class=""><b><i><span style="font-size:10pt">Statement of
Campus Policy for the University of Tennessee, Knoxville</span></i></b></p>
<p class="" style="margin-bottom:16pt"><span style="font-size:10pt;color:rgb(52,52,52)">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.</span></p>
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