Assistant Professor of Analytics
About The Position
The School of Management (SOM) holds separate AACBS accreditations in Business and Accounting and is nationally recognized for its success in developing future business leaders. SOM is listed as a top 10 business school among fully public institutions by Poets&Quants. The School offers bachelor's, master's, and Ph.D. programs. SOM consistently ranks among the top business schools for our undergraduate and graduate business programs. Faculty in the School of Management have a collegial relationship and regularly collaborate on research topics that integrate micro/macro levels and various disciplines, leverage different methodological perspectives (e.g., qualitative, quantitative and mixed-method approaches), and utilize extant multilevel and other advanced analytical tools. We are seeking a researcher who would complement this orientation with methodological and analytical foundations and a willingness to engage in multilevel and interdisciplinary research. Faculty have published in high-quality journals that include: Academy of Management Journal, Journal of Applied Psychology, Marketing Science, Management Science, Manufacturing and Service Operations Management Journal, Journal of Business Ethics, Journal of Management, Journal of Management Studies, Leadership Quarterly, Organizational Research Methods, Organization Studies, Organization Science, and Personnel Psychology. Additionally, our faculty have received external funding from federal agencies including: Army Research Institute, Department of Defense, Federal Emergency Management Association, and the National Science Foundation. For more information about the School of Management, visit our website: http://www.binghamton.edu/som. The School of Management at Binghamton University (State University of New York at Binghamton) invites applications for a tenure-track position at the Assistant Professor level in the area of Management Analytics to begin Fall 2026, subject to budgetary approval. We welcome applications from candidates with backgrounds in Management or other interdisciplinary fields (i.e., systems engineering, operations, technology and innovation, sustainability, psychology, etc.). The school is non-departmentalized, and Management Analytics faculty work with colleagues from a number of management disciplines.
Requirements
- A Ph.D. in Management or other interdisciplinary fields (i.e., systems engineering, operations, technology and innovation, sustainability, psychology, etc.), or will complete all degree requirements by July 1, 2026.
- Demonstrated ability to establish a successful track record of scholarly research. This can be substantiated by providing copies of published articles, submitted manuscripts, and work-in-progress papers aimed at publication in top-tier journals.
- Expertise in areas such as natural language processing/embeddings, machine learning, generative AI, and/or dynamic modeling (or other approaches useful for looking at temporal features and dynamics).
Nice To Haves
- Demonstrated multilevel research skills.
- Demonstrated innovative teaching capabilities.
- Demonstrated analytical, quantitative, and data management training directed towards addressing strategic business challenges and improving managerial decision-making.
Responsibilities
- Produce original and innovative research to be published in top-tier business academic journals. To support faculty research, SOM provides summer funding for the first three years of service.
- Deliver required/elective courses in analytics at the undergraduate and graduate program levels. The standard teaching load is 2+2 per academic year.
- Actively participate in the school's graduate programs and graduate student advising.
- Contribute to the school, the university, and the professional community by providing appropriate service through involvement in committees, shared governance undertakings, curriculum development and assessment.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
