Assistant Professor of Business Analytics
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 Hall. 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 http://business.ku.edu/ and https://www.ku.edu/about-lawrence.
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 academic journals.
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.
Contact Information to Applicants
Jide Wintoki, email@example.com
Meshell Rortina, firstname.lastname@example.org
Additional Candidate Instruction
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.