Previous JobJob TitleAssistant Professor Next JobApply for JobJob ID375835 LocationTwin Cities Job FamilyAcademic Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9403 Employee ClassInstr Fac/TC and Coord Cmp Add to My Favorite JobsEmail this Job About the Job The Assistant Professor position is responsible for carrying out the teaching, research and service mission of the department. The current teaching
load for research-active faculty is 10 semester credits per academic year. The teaching assignments can be at both the undergraduate and graduate level with a mixture of managerial and technical courses. The department has a core teaching presence in all programs: undergraduate, full and part-time MBA, Masters in Business Analytics, and executive education. There is also an expectation of advising at the PhD level.
On the research mission, faculty are expected to develop and maintain a strong research program that contributes to the IS discipline. The chosen candidate will also be expected to take part in a range of departmental, school, and university service activities commensurate with rank. Qualifications This is an entry-level tenure-track Assistant Professor position.Required Qualifications Candidates must have a strong
research program and earned a doctorate in information systems or a related field with demonstrated IS competence. The doctorate must be completed by August 23, 2027, or before the appointment date (whichever comes first). Preferred Qualifications Candidates should demonstrate potential for a strong research program with publication(s) and work-in-progress in leading information systems journals and related
disciplinary outlets; excellence in teaching at the undergraduate and graduate levels; interest in doctoral advising; and commitment to departmental, school, and professional service. About the Department The University of Minnesota is well known as one of the founding schools for the MIS discipline and is home to the MIS Quarterly. The new faculty member will benefit from the research and outreach activities of the
Management Information Systems Research Center, the Carlson Analytics Lab, and the Analytics for Good Institute. The Information and Decision Sciences Department has 15 tenured and tenure-track faculty. The department conducts research and teaches across information systems, business analytics, and artificial intelligence, with particular strengths in AI and machine learning, human-AI collaboration and algorithmic
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