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Harvard Business School

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Research Fellow Position in Development, Labor and Political Economy: Econometrics and Machine Learning Harvard Kennedy School in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Nov 16, 2026

Country flag

Country

United States

University

Harvard Business School

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Keywords

Computer Science
Mathematics
Labor Economics
Development Economics
Political Economy
Sub-saharan Africa
Latin America
Social Norms
Economics
Statistics
Econometrics
ML

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About this position

Harvard Kennedy School’s Center for International Development is recruiting a research fellow for a 24-month project in development, labor and political economy.

The project will use econometric analysis and machine-learning methods to study development initiatives related to social norms, migrant integration, marriage certification and debt bondage. The research spans Sub-Saharan Africa, Latin America and South Asia, offering a cross-regional setting for applied quantitative research on major social and economic challenges.

The fellowship is associated with Professor Eliana La Ferrara and will involve computational and empirical work using tools such as Stata, LaTeX and Python or R. The position provides an opportunity to contribute to research connecting development economics, labor economics and political economy with data-driven methods.

Funding details

Available

What's required

Applicants must hold a master's degree in economics, statistics, computer science or mathematics and have a strong academic record. They must have excellent command of Stata and LaTeX, proficiency in Python or R, and excellent English. The application requires transcripts, a CV, cover letter, writing sample, two references and a code sample.

How to apply

Send transcripts, CV, cover letter, writing sample, two references and a code sample as a combined PDF to [email protected].

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