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Massachusetts Institute of Technology (MIT)

Tenure-Track Faculty Position - MIT Sloan Finance and MIT Schwarzman College of

Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, us, 02140

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The Massachusetts Institute of Technology (MIT) Sloan School of Management and the MIT Schwarzman College of Computing located in Cambridge, MA invite applications for a tenure-track faculty position at the Assistant Professor level in finance and computer science. The intended start date is

July 1, 2026 , or as soon thereafter as possible.

The successful candidate will hold a shared appointment in the MIT Sloan School of Management and the MIT Schwarzman College of Computing in either the Department of Electrical Engineering and Computer Science (EECS) or the Institute for Data, Systems, and Society (IDSS), depending on the best fit. Faculty responsibilities include teaching courses at undergraduate and graduate levels in the areas of finance and computing, advising students, conducting scholarly research in the areas of finance and computing, and providing service to the institution and profession. The primary appointment will be in the finance group of MIT Sloan School of Management, but candidates are expected to teach in both the Sloan School of Management and the Schwarzman College of Computing. The normal teaching load is two subjects per year.

The pay range for a 9-month academic appointment at the entry-level Assistant Professor rank (excluding summer salary): $225,000 – $254,000. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. These factors impact where an individual’s pay falls within a range. Employment is contingent upon the completion of a satisfactory background check, including verifying any finding of misconduct (or pending investigation) from prior employers.

We seek candidates whose research sits at the intersection of finance and computing, including computer science, artificial intelligence, and related fields. Specifically, the candidate’s work should (1) advance the frontier of research in finance and economics by developing or applying computational and/or artificial intelligence methodologies or (2) advance the frontier of computing research by analyzing novel problems arising from finance and economics. Candidates must have a PhD in finance, computer science, economics, accounting, operations research, information systems, or a related field by the start of employment.

Applications should include a cover letter, Curriculum Vitae, research statement (3-4 pages), teaching statement (1 page), and contact details for at least three references. In the cover letter, applicants should concisely discuss how their scholarly work aligns with the position and how they would support Sloan and SCC programs (2 pages maximum). Recommendations should be submitted directly by the recommenders.

Applications received and completed (including recommendation letters) by

November 23rd

will be prioritized. Applications received and completed after November 23rd may also be considered.

For more details, visit MIT Sloan and MIT SCC websites. Questions can be directed to the faculty search co-chairs Professor Haoxiang Zhu (zhuh@mit.edu) and Professor Vinod Vaikuntanathan (vinodv@mit.edu).

Massachusetts Institute of Technology

is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. MIT’s full policy on Nondiscrimination can be found here.

Background Check Policy Employment is contingent upon the completion of a satisfactory background check, including possible verification of any findings of misconduct (or pending investigations) from prior employers.

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