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Naoki Egami

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2 days ago

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 flag

Country

United States

University

Massachusetts Institute of Technology

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Keywords

Computer Science
Political Science
Python Programming
Causal Inference
Computational Social Science
Economics
Statistics
Programming Language
Methodologie
Multi-agent System
ML

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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

University Name
Country flag

United States

Research Interests

Statistics

Multi-agent System

Computational Social Science

Python Programming

Methodologie