The School of Business at the University of Kansas is searching for an Assistant Teaching Professor in Business Analytics and Information Systems for the 2020-2021 academic year. Interested candidates should demonstrate their industry and/or teaching expertise in the application of data analytics and information systems to contemporary business problems. This is a full-time, non-tenure, academic-year teaching position beginning August 18, 2020, with an initial term of three academic years.
In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the university actively encourages applications from members of underrepresented groups in higher education
Teach undergraduate or graduate level courses in various topics in information systems and/or business analytics. Duties include, but are not limited to, course preparation, consultation, and assignment of course grades. Courses may be taught at the Lawrence, Edwards, or Leavenworth campus or online. The course load for this appointment is four courses each semester (Fall and Spring). Course load and teaching assignments will be determined by the area director to best meet the needs of the School of Business. All teaching professors should abide by area, school, and university policies and procedures.
Participate as an active member of the area and engage in instruction-related activities beyond direct instruction. Examples include curriculum development committees, course improvement initiatives, and advising student organizations. All faculty members are expected to fulfill their share of service duties needed to facilitate the efficient operation of the school.
10% Scholarly and/or industry engagement
Engage with practitioners in the business community to better understand current and evolving business practice and disseminate this knowledge within or outside the school to improve instruction and student development. Dissemination may take many forms, including but not limited to presentations or workshops for colleagues, participation on curriculum committees, case study, and case competition development. If desired, scholarly engagement may also include academic or pedagogical research, publications in academic or practitioner journals or textbook development
A Ph.D. or D.B.A in a discipline directly related to information systems or business analytics (e.g., data science, data engineering, data management, predictive analytics, information science, information systems, applied statistics, computational science, or quantitative social science). Degree must be earned by August 18, 2020.
Demonstrated (or high potential for) teaching excellence in information systems and/or business analytics.
Demonstrated (or high potential for) scholarly or industry engagement.
Contact Information to Applicants
Meshell Rortina, email@example.com
Jide Wintoki, firstname.lastname@example.org