Assistant or Associate Faculty of Business Analytics
Present Position Number:
Assistant Professor/9-MthPosition Title:
Assistant or Associate Faculty of Business AnalyticsPosition Summary:
The Raymond A. Mason School of Business at the College of William and Mary is seeking to fill a Business Analytics position in the Operations and Information Systems (OISM) area. This is a tenure-eligible position. An earned doctoral degree in information systems, information technology, operations management, industrial engineering, operations research, business analytics, computer science or related fields is required. The position requires a teaching load of 12 credits with the possibility of a 3 credit reduction to support research and begins in August 2021 and is contingent on funding. The successful candidate should be willing and able to teach courses in multiple areas of the following – operations management, information systems, information technology, computer science, statistics, and business analytics.
Candidates who can teach courses in Big Data, Machine Learning, and Artificial Intelligence are especially encouraged to apply. The OISM area offers a Business Analytics major in the BBA program, is active in multiple MBA programs, and has both residential and online Master’s programs in Business Analytics. Responsibilities of this position are research, teaching and service. Prior teaching and research experience is required. Candidates with a proven record of excellence in research and teaching will be given preference in the selection process. Industry experience in operations management, information systems, and/or business analytics, while not required, is desirable.
Candidates should have a terminal degree in information systems, information technology, operations management, industrial engineering, operations research, business analytics, computer science, or related fields. Willing and able to teach courses in multiple areas of the following – operations management, information systems, information technology, computer science, statistics, and business analytics.Preferred Qualifications:
Industry experience in operations management and/or business analytics, while not required, is desirable. Candidates who can teach courses in Big Data, Machine Learning, and Artificial Intelligence are encouraged to applyDepartment:
3L2000 School of Business - AdministrationLocation:
William & MaryJob Open Date:
02/19/2021Review Begin Date:
03/19/2021Job Close Date:
03/19/2021Open Until Filled:
Instructional FacultySpecial Application Instructions:
For full consideration please submit CV, cover letter, and teaching statement by the review date March 19, 2021.Background Check Statement:
William & Mary is committed to providing a safe campus community. W&M conducts background investigations for applicants being considered for employment. Background investigations include reference checks, a criminal history record check, and when appropriate, a financial (credit) report or driving history check.EEO Statement:
William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities.Benefits Summary Statement:
FT, Quasi FT Positions: William & Mary offers our employees a full array of benefits including retirement, health insurance with options for expanded dental and vision along with group and optional life insurance with coverage for spouse and children, flexible spending accounts, and an EAP (Employee Assistance Program).
Our employees enjoy additional university benefits such as educational assistance, professional development, wellness benefits, and a robust holiday schedule. All employees have access to fitness facilities on campus. Staff members also have access to the university libraries, and much more. To learn more, go to: https://www.wm.edu/offices/hr/currentemployees/benefits/index.php