Postdoctoral Fellow - Climate & Sustainability Impact Lab, Digital Data Design Institute

Harvard University's Digital Data Design Institute is seeking a Postdoctoral Fellow for the Climate & Sustainability Impact Lab for the academic year 2025-2026. The role involves research on digital transformation and AI's impact on climate and sustainability. Candidates should have a Ph.D. in relevant fields, experience in causal analysis, programming, and managing large datasets. The position is located in Boston, MA, with no teaching responsibilities.
Harvard University

Title: Postdoctoral Fellow - Climate & Sustainability Impact Lab, Digital Data Design Institute

School: Harvard Business School

Position Description: The Digital Data Design (D^3) Institute at Harvard is accepting applications for postdoctoral fellows for academic year 2025-2026 to work on research activities at our research labs. D^3 conducts research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu/labs. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.

The D^3 Climate and Sustainability Impact Lab, co-led by Professors George Serafeim, Michael Toffel, and Peter Tufano, is looking for a postdoctoral fellow with demonstrated research interests in climate and sustainability. The mission of the Climate and Sustainability Impact Lab is to advance our understanding of how digital transformation and the use of artificial intelligence in management and governance practices deliver measurable financial, environmental, and social impacts. While we welcome applicants working on a wide range of topics, in the coming year the Lab's activities will include a focus on new products, services, and businesses that promote decarbonization and/or climate adaptation, and climate finance-especially how climate-induced risks might be shared between insurers, governments, and households.

Candidates should have some familiarity with some or all of the following:
• Causal analysis and experimental design: difference-in-differences and fixed effects models, instrumental variables, treatment selection, power analysis, analysis of attrition and non-compliance, analysis of heterogenous effects and interference;
• Designing lab experiments, field experiments, and/or surveys;
• Programming/scripting knowledge suitable for processing raw data for analysis (e.g., text manipulation);
• One or more computational environments for statistical analysis (e.g., MATLAB , R, or Stata);
• Creating and managing very large datasets;
• Machine learning skills.

Basic Qualifications:
• A Ph.D. in any business discipline, organizational behavior, economics, statistics, environmental or climate studies, or another field. All degree requirements must be satisfied prior to the fellowship start date.
• It is not a requirement to have a degree in climate or environmental science, only an interest or work that relates to climate and sustainability.
• If you have obtained your Ph.D. in the past 12 months you must be able to provide a certificate of completion from the degree-granting institution OR a letter from the institution's Registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been conferred. No exceptions.
• Strong team player with excellent communication skills.

Special Instructions: Applications will be accepted until the position is filled. Please apply here via the Harvard system.

Please do not contact lab faculty; if you have any questions, please contact d3@harvard.edu.

All applications should include the following:
• Curriculum vitae
• 2-page research statement
• Two research papers
• Copy of academic records (unofficial records are acceptable)
• Two letters of recommendation

Candidates may be asked to undergo an assessment as part of the interview process.

Additional Information:

This is a term appointment starting summer 2025 (start date flexible) through June 30, 2026, with possibility of renewal based on funding and performance. Relocation funding is not provided.

This role is offered as a hybrid (some combination of onsite and remote) where you are required to be onsite at our Boston, MA based campus. Specific days and schedule will be determined between you and your supervisors.

Culture of Inclusion: The work and well-being of HBS is profoundly strengthened by the diversity of our network and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. Explore HBS work culture at https://www.hbs.edu/employment/.

Commitment to Equity, Diversity, Inclusion, and Belonging

Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.

EEO Statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

Contact Information: Harvard Business School
Soldiers Field Road
Boston, MA 02163

Contact Email: kdestadler@hbs.edu

Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required: 2

Maximum Number of References Allowed: 4

Keywords: climate, economics, business, statistics

Supplemental Questions: Required fields are indicated with an asterisk (*).

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