The School of Business at the College of Charleston has an opening for an Assistant Professor of Business Analytics beginning August 2020. The School is accredited by AACSB in both its business and accounting undergraduate programs. We are seeking a candidate to join our faculty in the area of business analytics with specialization in one or more of the following areas: business intelligence, data mining, machine learning, data management and/or data visualization.
Responsibilities would include developing and teaching courses in one or more of the areas listed above, as well as teaching existing undergraduate courses in MIS and Statistics. Candidates must be willing to work with current faculty in the School of Business to develop quality, interdisciplinary coursework in business analytics. Candidates should also possess a demonstrated ability to teach undergraduate coursework and conduct quality research in one or more of the above-stated areas.
Experience teaching with SAP desired but not required.
A Ph.D. in MIS or closely related field is required. A.B.D. completion by August 15, 2020 will be considered only for appointment at the instructor rank and must have completed the Ph.D. for continuation beyond one year.
How to apply
For consideration, please submit a letter of application, curriculum vitae, graduate transcripts, and names and contact information for three references through the College’s online recruitment platform, PeopleAdmin, at jobs.cofc.edu. The search will remain open until the position is filled. Visit the College web site at www.cofc.edu.
For more information, contact:
Dr. Iris Junglas Chair of the Search Committee Noah Leask Endowed Chair
Department of Supply Chain and Information Management
School of Business, College of Charleston
66 George Street
Charleston, SC 29424
The College of Charleston is an Affirmative Action/Equal Opportunity employer and does not discriminate against any individual or group on the bias of gender, sexual orientation, gender identity or expression, age, race, color, religion, national origin, veteran stats, genetic information, or disability.