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Postdoctoral Fellow in Digital Reskilling and Econometrics at Harvard Business School Harvard Business School in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Term postdoctoral position starting July 2027 through June 30, 2028, with possibility of renewal based on funding and performance. Salary is $75,000 annually. Relocation funding is not provided.
Deadline
Dec 1, 2026
Country
United States
University
Harvard Business School
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About this position
Postdoctoral Fellow, HBS AI Institute - Digital Reskilling Lab at Harvard Business School (Harvard University, United States) is seeking two postdoctoral fellows for research on workplace reskilling and digital transformation.
The Digital Reskilling Lab, led by Prof. Raffaella Sadun and Prof. Jorge Tamayo, studies initiatives that retrain and reskill employees whose jobs are being affected by digital technologies. The lab collaborates with organizations to evaluate the feasibility, scalability, and effectiveness of different approaches to the skills challenge.
Successful candidates will work on cutting-edge research in economics, business, statistics, and computer science, with strong emphasis on advanced econometrics, causal inference, experimental design, and large-scale data analysis. Typical projects include refining research questions, designing experiments or surveys, analyzing historical and experimental data, and preparing manuscripts for peer-reviewed social science journals.
Applicants should have a Ph.D. in economics or a related discipline. Preferred technical skills include difference-in-differences, fixed effects, instrumental variables, power analysis, treatment selection, heterogeneous effects, interference, lab and field experiments, surveys, SQL, AWS, Snowflake, MATLAB, Stata, R, Python, machine learning, and experience handling very large datasets. The role also values experience mentoring research assistants and writing for management and economics journals.
The position is a term appointment starting July 2027 through June 30, 2028, with a possibility of renewal depending on funding and performance. Salary is $75,000 annually. Relocation funding is not provided. The role is hybrid, but requires onsite presence at the Boston, Massachusetts campus.
For full consideration, apply by December 1, 2026. Submit a CV, academic records (unofficial accepted), a 2-page research statement, two research papers, and contact details for at least two references. Interviews may be conducted virtually.
Funding details
Term postdoctoral position starting July 2027 through June 30, 2028, with possibility of renewal based on funding and performance. Salary is $75,000 annually. Relocation funding is not provided.
What's required
Ph.D. in economics or a related discipline; if the Ph.D. was obtained within the past 12 months, the candidate must provide a completion certificate or registrar letter confirming all requirements are completed and the degree conferral date. Candidates should be proficient with large datasets using SQL, AWS, and Snowflake, and have familiarity with causal analysis and experimental design (difference-in-differences, fixed effects, instrumental variables, treatment selection, power analysis, attrition and non-compliance, heterogeneous effects, interference), lab/field experiments and surveys, scripting/programming for raw data processing, statistical computing environments such as MATLAB, Stata, R, or Python, creating and managing very large datasets, mentoring research assistants, machine learning, and writing papers for management and economics journals. Interest in reskilling initiatives and working with partner organizations or companies is preferred.
How to apply
Apply online through the Harvard Academic Positions posting. Submit a CV, unofficial academic records, a 2-page research statement, two research papers, and contact details for at least two references. Applications are accepted until the position is filled, but full consideration is given to applications submitted by December 1, 2026.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.