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  • Predoctoral Researcher

    Massachusetts Institute of Technology (Cambridge, MA)



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    Predoctoral Researcher

     

    + Job Number: 25260

    + Functional Area: Research - Scientific

    + Department: Economics

    + School Area: Humanities, Arts, & Social Sciences

    + Pay Range Minimum: Not Available

    + Pay Range Maximum: Not Available

    + Employment Type: Full-Time

    + Employment Category: Exempt

    + Visa Sponsorship Available: No

    + Schedule:

    + Pay Grade: No Grade

     

    Email a Friend Save Save Apply Now

    Posting Description

    PREDOCTORAL RESEARCHER, Economics, to support work at all stages of the research process on research projects in the fields of econometrics and applied machine learning/artificial intelligence with Professor Ashesh Rambachan. This position offers the opportunity to gain exposure to and training in a broad set of statistical methods and economic research topics. Will engage directly in the research process and implement complete project pipelines covering data processing, machine learning, and statistical inference; work on research projects with Professor Ashesh Rambachan and his co-authors at MIT, the University of Chicago, Harvard University and other institutions; and collaborate with all stages of the research process on projects in the fields of econometrics and applied machine learning / artificial intelligence.

     

    Full job description is available here: https://www.dropbox.com/scl/fi/7057aydppxhxpd8g95em5/Job\_Description\_Predoc\_MIT\_Rambachan\_2025.pdf?rlkey=q2ac2zmhkbkutfce9j4f7be77&st=88sf832w&dl=0

    Job Requirements

    REQUIRED: A bachelor’s degree in economics, computer science, mathematics, statistics, or a related field; minimum of two years of specialized experience with qualitative data analysis, research methods, social sciences (which may include experience gained as an undergraduate); and strong quantitative and programming skills in Python and R, time and project management skills, and excellent attention to detail.

     

    Preferred start date is June 1st, 2026 with some flexibility. An employment term of 1-2 years is expected.

     

    Apply online with a single PDF attachment titled “RA_Application_[First name]_[Last name].pdf”, including: cover letter, resume, transcript if applicable. Questions should be directed to [email protected]. We will review all applications at the end of November and interviews will be conducted in December/January.

     

    Revised 10/15/2025

     


    Apply Now



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