Assistant Professor in Operations Research & Statistics

Institution
The Massachusetts Institute of Technology (MIT) Sloan School of Management, located at 77 Massachusetts Avenue, Cambridge, MA, invites applications for a Tenure-Track Assistant Professor position in Operations Research and Statistics (OR/Stat). The appointment begins July 1, 2026, or as soon as possible thereafter.

About the Role
This position is ideal for candidates interested in business faculty jobs within a leading global business school. Strong applicants will show potential for research and teaching excellence in subfields such as:

• Data Science
• Optimization
• Statistics
• Analytics (including applied Machine Learning and AI)
• Operations Research broadly construed

We welcome candidates who can:

• Build a strong methodological research base
• Contribute to high-impact application areas
• Teach effectively in undergraduate, MBA, MBAnalytics, and PhD programs

Responsibilities

• Teach courses in Operations Research, Statistics, and Data Science at undergraduate and graduate levels
• Conduct original scholarly research in OR, Statistics, Data Science, or related fields
• Support MIT Sloan’s inclusive, collaborative academic culture

Why MIT Sloan?
New faculty benefit from:

• Mentorship programs for early-career scholars
• A world-class environment for scientific inquiry
• A commitment to a diverse, inclusive, and welcoming community

Qualifications
Applicants must hold a PhD in Operations Research, Statistics, Industrial Engineering, Computer Science, or a closely related field by the start date of employment.

Application Process
Applications must include:

• Curriculum Vitae (CV)
• Three letters of recommendation
• Personal statement on research experience and goals
• Personal statement on teaching experience and goals

Key Deadlines

• Full application deadline: November 10, 2025
• Applicants are encouraged to submit by October 16, 2025, to allow potential discussions at the INFORMS Annual Meeting.

Apply Here
Submit applications via Interfolio: https://apply.interfolio.com/172023

Equal Employment Opportunity Statement
MIT is an equal employment opportunity employer. All qualified applicants will be considered without discrimination based on race, color, sex, sexual orientation, gender identity, pregnancy, religion, disability, age, genetic information, veteran status, ancestry, or national/ethnic origin. MIT’s full nondiscrimination policy is available here.

Background Check Policy
Employment is contingent upon a satisfactory background check, including possible verification of prior employment records and any findings of misconduct (or pending investigations).

Important Note
If you decide to apply for this position, kindly mention that you found it on AcademyHire.