Massachusetts Institute of Technology
Operations Research and Statistics Tenure-Track Assistant Professor
Massachusetts Institute of Technology, Cambridge, Massachusetts, us, 02140
Description
The Massachusetts Institute of Technology (MIT) Sloan School of Management at 77 Massachusetts Avenue, Cambridge, MA invites applications for a Tenure-Track Assistant Professor position in Operations Research and Statistics (OR/Stat) beginning
July 1, 2026 , or as soon thereafter as possible. Strong applicants will demonstrate the potential for research and teaching excellence in any of the sub-fields of Operations Research and Statistics, including Data Science, Optimization, Statistics, Analytics (including applied Machine Learning and AI), and/or Operations Research broadly construed. We are especially interested in candidates who can build a strong methodological research base, contribute to application areas of high impact, and successfully teach in our undergraduate, MBA, MBAnalytics, and/or PhD programs. Duties will include teaching undergraduate and/or graduate level courses in Operations Research, Statistics, and Data Science, and conducting original scholarly research in Operations Research, Statistics, Data Science, or related fields. The MIT Sloan School of Management offers supportive mentorship to new faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture.
Qualifications
Applicants should possess a PhD in Operations Research, Statistics, Industrial Engineering, Computer Science, or a related relevant field by the start of employment.
Application Instructions
Applications must include an up-to-date curriculum vitae, three letters of recommendation, a personal statement describing research experience and aspirations, and a personal statement describing teaching aspirations and any teaching experience.
Applications should be submitted in full by
November 10, 2025 .
Applicants are encouraged to initiate the submission of their materials by
October 16, 2025
(10 days prior to the INFORMS Annual Meeting) in order to facilitate the potential for discussions at the meeting. #J-18808-Ljbffr
The Massachusetts Institute of Technology (MIT) Sloan School of Management at 77 Massachusetts Avenue, Cambridge, MA invites applications for a Tenure-Track Assistant Professor position in Operations Research and Statistics (OR/Stat) beginning
July 1, 2026 , or as soon thereafter as possible. Strong applicants will demonstrate the potential for research and teaching excellence in any of the sub-fields of Operations Research and Statistics, including Data Science, Optimization, Statistics, Analytics (including applied Machine Learning and AI), and/or Operations Research broadly construed. We are especially interested in candidates who can build a strong methodological research base, contribute to application areas of high impact, and successfully teach in our undergraduate, MBA, MBAnalytics, and/or PhD programs. Duties will include teaching undergraduate and/or graduate level courses in Operations Research, Statistics, and Data Science, and conducting original scholarly research in Operations Research, Statistics, Data Science, or related fields. The MIT Sloan School of Management offers supportive mentorship to new faculty, an exceptional environment for scientific inquiry, and a strong commitment to an inclusive, welcoming culture.
Qualifications
Applicants should possess a PhD in Operations Research, Statistics, Industrial Engineering, Computer Science, or a related relevant field by the start of employment.
Application Instructions
Applications must include an up-to-date curriculum vitae, three letters of recommendation, a personal statement describing research experience and aspirations, and a personal statement describing teaching aspirations and any teaching experience.
Applications should be submitted in full by
November 10, 2025 .
Applicants are encouraged to initiate the submission of their materials by
October 16, 2025
(10 days prior to the INFORMS Annual Meeting) in order to facilitate the potential for discussions at the meeting. #J-18808-Ljbffr