Job Information
University of Kansas Asst Teaching Prof. - Business Analytics/Operations Mgmt/Info Systems in Lawrence, Kansas
29253BR
Job Title:
Asst Teaching Prof. - Business Analytics/Operations Mgmt/Info Systems
Department:
Business
Primary Campus:
University of Kansas Lawrence Campus
Job Description:
80% Teaching
Teach undergraduate or graduate level courses in various topics in statistics, information systems, supply chain management, 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.
10% Service
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.
Req ID (Ex: 10567BR) :
29253BR
Disclaimer:
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following person has been designated to handle inquiries regarding the nondiscrimination policies and is the Title IX coordinator for all KU and KUMC campuses: Associate Vice Chancellor for the Office of Civil Rights and Title IX, civilrights@ku.edu, Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY.
Conditions of Employment:
Limited Term
Contact Information to Applicants:
Cal Riedley, busaioadmin@ku.edu
Deb Dey, deb.dey@ku.edu
Limited Term End Date:
16-May-2027
Position Number:
01200066
Required Qualifications:
A Ph.D. or D.B.A in business analytics, operations management, information systems, or a related field (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 January 1, 2025.
Demonstrated (or high potential for) teaching excellence in information systems, supply chain, and/or business analytics.
Demonstrated (or high potential for) scholarly or industry engagement.
Employee Class:
F-Faculty
Advertised Salary Range:
Commensurate with experience
FTE:
1.0
Position Overview:
The School of Business at the University of Kansas is searching for an Assistant Teaching Professor in Business Analytics, Operations Management and/or Information Systems.
All interested candidates should demonstrate their industry and/or teaching expertise in the areas of analytics, supply chain management, and/or information systems to contemporary business problems. This is a full-time, non-tenure, academic-year teaching position beginning January 1, 2025. The initial appointment for the Assistant Teaching Professor will be for three academic years.
KU’s excellence is a result of the rich tapestry of experiences, perspectives, and backgrounds of our faculty, staff, students, and colleagues from across our nation and the globe. At KU, we invest in continuous learning and growth by creating a climate where people engage in respectful dialogue and debate and support each other’s success. We foster a culture of care where each person is seen, heard and valued. When people feel a true sense of belonging, we believe they are better able to reach their full potential and achieve remarkable things. The successful candidate must be eligible to work in the U.S. by the effective date of the appointment.
Reg/Temp:
Regular
Application Review Begins:
25-Nov-2024
Anticipated Start Date:
01-Jan-2025
Additional Candidate Instruction:
To be considered, candidates must submit an online application. A complete application will include a:
letter of application describing both academic and/or industry experience and accomplishments, (See additional details below.)
record of productivity in teaching, research, service, and/or industry experience as noted in CV,
teaching statement and supplemental materials, as appropriate (e.g., teaching portfolio, sample syllabi, teaching evaluations).
Candidate interests in the areas of business analytics, supply chain, logistics, information systems, scripting languages or programming frameworks (e.g. SQL, Python, R, SAS), data management platforms (e.g., Oracle, MS SQLServer) and/or analytics tools (e.g., Spotfire, Tableau) should be outlined in the cover letter required as a 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 supply chain, health care, energy, fraud detection, finance, retailing, and/or insurance 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.
Review of applications will begin November 25th and continue until a qualified pool of applicants is identified.