Faculty Positions

Tenure Track Faculty Position in Business Analytics
Assistant or Associate Professor Level
Robert H. Smith School of Business, University of Maryland

The Decision, Operations and Information Technologies (DO&IT) Department at The Robert H. Smith School of Business, University of Maryland, College Park, MD invites applications for a tenure-track faculty position at the Assistant or Associate Professor level in Business Analytics, starting Fall 2024. We are seeking candidates with a strong commitment to high-quality research, and for candidates at the Associate Professor level, a commensurate record of research publications. We also expect the faculty member to play a key role in the Department’s academic programs at the Doctoral, Master’s and Undergraduate levels, in terms of teaching and leadership.

The ideal candidate will have a PhD in Business Analytics, Operations Management, Management Science, Industrial Engineering/Operations Research, Statistics, Computer Science, or a related field, and is well trained in data science and machine learning. We seek candidates who use data as a core element of their research and have a proven track record (for the Associate Professor rank) or a demonstrated interest (for the Assistant Professor rank) in one of the Smith School’s strategic focus areas including: Artificial intelligence (AI) applications in operations management and business analytics; algorithmic bias and responsible AI; future of supply chains; sustainability and climate risk; environmental, social and governance (ESG) issues; applications that support diversity, equity and inclusion (DEI). The faculty member is expected to develop and teach analytics related courses to undergraduates, MS, MBA and / or PhD  students.

The DO&IT faculty at the University of Maryland is a vibrant and interdisciplinary group actively engaged in theoretical and applied research spanning business analytics, operations management, information systems, management science, and statistics.  Several faculty members hold joint or affiliate appointments across the university in mathematics, engineering, computer science. The Smith School is a recognized leader in management research and education, with nationally ranked MBA, MS and undergraduate programs, as well as a strong doctoral program.  The school is consistently ranked among the top business schools by leading publications such as U.S. News & World Report, Financial Times, Business Week, and Wall Street Journal.

Interested applicants are asked to submit their entire application electronically as one PDF file as an email attachment to the Search Committee at analyticsfacultysearch@umd.edu. Applicants must also submit their application to the University of Maryland’s official jobs website: https://ejobs.umd.edu (search for faculty position number 128764). The application file should include a brief cover letter, vita, research and teaching statements, and names of three references, in that order. The file should be named with the candidate’s last name and first name, e.g., SmithJohn. For full consideration, applications are due by November 26, 2023. Applications will continue to be accepted until the position is filled. Any questions regarding the position or application process can be directed to the Search Committee at analyticsfacultysearch@umd.edu.

To be considered for an interview at the upcoming INFORMS Conference in Phoenix, AZ, applications must be received by September 24, 2023.

The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.

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