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Postdoctoral Fellow in AI, Innovation Science, and Organizational Research at Harvard Business School Harvard Business School in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral fellowship for academic year 2026-2027 with a salary of $75,000 annually. No teaching requirements are stated.
Country
United States
University
Harvard Business School

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About this position
The HBS AI Institute at Harvard Business School is accepting applications for a Postdoctoral Fellow for academic year 2026-2027 to conduct research with the Laboratory for Innovation Science at Harvard (LISH).
This postdoctoral opening focuses on how AI reshapes business and organizations. Research topics include workers at the frontier of AI adoption, human-AI collaboration, skill development, task and workflow adaptation, organizational architecture, division of labor, coordination, decision-making, and the emergence of new organizational forms. The group also studies how entrepreneurs and organizations identify, define, and solve problems using large-scale unstructured data.
Methodologically, the role involves field experiments, partner organizations, causal inference, computational analysis of large datasets, data collection and measurement, and academic publication work. Fellows will contribute to study design and implementation, analysis, and reproducible research pipelines.
Supervision is by Professors Karim Lakhani and Jacqueline Lane and Dr. Ramona Pop at Harvard Business School. There are no teaching requirements for this position.
Eligible applicants should hold a Ph.D. or equivalent in management, strategy, economics, organizational behavior, sociology, psychology, computer science, information science, or a related quantitative/social science field. Strong quantitative research skills are required, along with proficiency in Python, R, Stata, or similar tools. Relevant experience includes causal inference, econometrics, experimental design, applied microeconomics, organizational theory, social networks, computational social science, NLP, machine learning, human-AI interaction, and reproducible data management.
The position is based in Cambridge, Massachusetts, United States. The salary is $75,000 annually. Applicants who earned their Ph.D. within the past 12 months must provide a completion certificate or registrar letter confirming all degree requirements have been met.
Apply via the HERC job posting link provided in the announcement.
Funding details
Postdoctoral fellowship for academic year 2026-2027 with a salary of $75,000 annually. No teaching requirements are stated.
What's required
A Ph.D. or equivalent degree in management, strategy, economics, organizational behavior, sociology, psychology, computer science, information science, or a related quantitative or social science field is required. Candidates should have strong quantitative research skills, proficiency in Python, R, Stata, or comparable tools, a strong publication record or clear potential for high-impact research, and experience with causal inference, econometrics, experimental design, applied microeconomics, organizational theory, computational social science, NLP, machine learning, or human-AI interaction. The post notes that applicants who earned the Ph.D. within the past 12 months must provide proof of completion or a registrar letter.
How to apply
Apply through the HERC job posting link. Review the position description and submit the application materials requested on the employer portal. If your Ph.D. was completed within the last 12 months, include the required completion certificate or registrar letter.
More information can be found here
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