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Naoki Egami
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Postdoctoral Associate in AI for the Social Sciences and Causal Inference Massachusetts Institute of Technology in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Salary is competitive with applicable MIT benefits in accordance with university guidelines; visa support is available. One-year term, renewable based on performance and funding.
Deadline
May 9, 2027
Country
United States
University
Massachusetts Institute of Technology
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About this position
Massachusetts Institute of Technology is offering a postdoctoral associate position in the Department of Political Science, affiliated with the Statistics and Data Science Center. The role is supervised by Professor Naoki Egami and focuses on methodological research at the intersection of AI for the social sciences and causal inference.
The successful postdoctoral researcher will work on projects such as developing and evaluating multi-agent systems and creating statistical methods for analyzing AI-generated data with formal inferential guarantees. The postdoctoral associate will also have opportunities to pursue independent research aligned with their own interests and background, within MIT’s research environment.
The appointment is based in person on MIT’s Cambridge campus and is tied to a research program that bridges political science, statistics, and computational methods. The postdoctoral associate will join a setting that combines the Department of Political Science with the Statistics and Data Science Center, supporting work that is both methodological and application-driven.
Funding details
Salary is competitive with applicable MIT benefits in accordance with university guidelines; visa support is available. One-year term, renewable based on performance and funding.
What's required
Applicants must have completed a Ph.D. in political science, computer science, statistics, economics or a related program by the start of the appointment. Significant programming experience and proficiency in R or Python are required. Preference will be given to candidates with demonstrated skills in AI, statistical theory and methodology, and/or causal inference. Demonstrated research expertise in developing and evaluating multi-agent AI systems is highly valued but not required.
How to apply
Submit a single PDF application containing a cover letter, CV, graduate school transcripts, and a two-to-four page research statement through the AcademicJobsOnline application link. Ask two referees to send confidential recommendation letters directly to Professor Naoki Egami at [email protected] with the specified subject line. Applications are reviewed on a rolling basis until the position is filled.
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Professors
Professor at Massachusetts Institute of Technology
United States
Research Interests
Statistics
Multi-agent System
Computational Social Science
Python Programming
Methodologie
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.