Assistant Professor of Business Analytics - 20371BR
Assistant Professor of Business Analytics
University of Kansas Lawrence Campus
The School of Business at the University of Kansas is searching for an
Assistant Professor in Business Analytics for the 2022-2023 academic year.
This is a full-time, tenure-track position beginning August 18, 2022. This
position will interact with students, faculty, industry partners, and the
broader business community through instruction, research and service focusing
on business analytics and information systems.
The University of Kansas, School of Business has been educating students and
creating business leaders since 1924. In May 2016, the school moved into the
$70.5 million, 166,500-square-foot Capitol Federal Hall1. The main campus is
located in Lawrence, Kansas, 45 minutes west of Kansas City. For information
about the University of Kansas, School of Business and living in Lawrence, see
https:// business.ku.edu/2 and https: // www. ku.edu/about-lawrence3.
In a continuing effort to enrich its academic environment and provide equal
educational and employment opportunities, the university actively encourages
applications from members of under-represented groups in higher education. The
successful applicant must have appropriate work authorization prior to the
start of employment. For eligible international candidates, KU provides
immigration support and sponsorship.
40% - Teach a combination of required and elective courses in business
analytics at the undergraduate, MBA and/or doctoral levels.
40% - Conduct and publish research on business analytics topics in leading
20% - Engage in school, university, and professional service activities.
A Ph.D. or D.B.A. in discipline directly related to business analytics (e.g., data science, data management/modeling, predictive analytics, information science, information systems, applied statistics). Must complete degree by start date of August 18, 2022.
Evidence of potential for engaging in high quality research in business analytics.
A clear ability to teach effectively at the undergraduate, masters, or Ph.D. levels in the areas of business analytics.
Additional Candidate Instructions
To be considered, candidates must submit an online application. A complete
application will include a:
Letter of application describing experience and accomplishments,
Record of productivity in teaching, research and service as noted in CV,
Research statement and supplemental materials, (e.g., publications), and
Teaching statement and supplemental materials (e.g., teaching portfolio,
sample syllabi, teaching evaluations).
Candidates with experience in the application of data analytics or information
management to contemporary business problems should highlight their expertise
in their application packet. Candidate's special interests such as in the
areas of business intelligence, decision support systems, cloud computing,
data visualization/graphics, data mining, information systems, machine
learning, multivariate and/or Bayesian statistics, computer simulation and
modeling, Big Data analytics, scripting languages or programming frameworks
(e.g. R, SAS, SQL, Python, Hadoop, Java, MatLab), data management platforms
(SAP, Oracle, etc.) and/or analytics tools (Spotfire, Tableau, Oracle Data
Visualization, Pentaho, etc.) should be outlined in the research statement
required as part of the application package. Additional relevant interests
such as engagement with the business community on digital innovation, data
analysis, and providing insights and solutions in the application fields of
health care, energy, fraud detection, finance, retailing, insurance, and/or
transportation/logistics should also be outlined in application materials.
Letters of recommendation will be requested from selected applicants as the
search process moves beyond the initial screening round.
In addition to the materials above, learning about each applicant's
contribution and engagement in areas of diversity is an important part of KU's
mission. As a result, applicants will be presented the following question at
the time of application. The response must be within 4,000 characters or less.
Describe your experiences working with people from diverse backgrounds,
and explain how those experiences reflect your commitments to diversity,
equity, and inclusion.
Only complete applications submitted online will be considered. First review
of applications will begin on November 9, 2021 and will continue until a pool
of qualified applicants is collected.
Contact Information to Applicants
Jide Wintoki, firstname.lastname@example.org
Meshell Rortina, email@example.com
Advertised Salary Range
commensurate with experience
Application Review Begins
Tuesday, November 9, 2021
Anticipated Start Date
Thursday, August 18, 2022