Postdoctoral Fellow, HBS AI Institute - Platform Lab

Harvard University

  • Cambridge, MA
  • 8 days ago
  • $75,000 Per Year

Highlights

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); Writing papers for management and economics journals; Interest in platforms, digitization, antitrust, network effects and/or strategy. Candidates should have good familiarity with: 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 treatment-control interference.

Numbers & Facts

LocationCambridge, MA

Description

Position

Details

Title Postdoctoral Fellow, HBS AI Institute - Platform Lab School Harvard Business School Department/Area Position Description

The Platform Lab, led by Professors Chiara Farronato and Feng Zhu, at the HBS AI Institute is accepting applications for a Postdoctoral Fellow for the academic year 2027 - 2028.

The mission of the Platform Lab is to provide a research-based roadmap for businesses and policymakers that are interested in creating an innovative platform ecosystem. The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and the Senior Associate Director, Lab Operations. They will work closely with the lab manager and research associate(s) at each lab. The HBS AI Institute is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.

A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data, and writing research papers targeted at peer reviewed social science journals. Candidates should have good familiarity with:

  • 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 treatment-control interference.
  • 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);
  • Writing papers for management and economics journals;
  • Interest in platforms, digitization, antitrust, network effects and/or strategy.

Basic Qualifications

A Ph.D. in economics, business, or related field. All degree requirements must be satisfied prior to the fellowship start date.

Strong team player with excellent communication skills.

PLEASE NOTE: 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.

Additional Qualifications Special Instructions

Application Details:

Applications will be accepted until the position is filled. Please apply via the ARIeS system. Please do not contact lab faculty. For full consideration, please apply by December 1st, 2026.

All applications should include the following:

Curriculum vitae

Copy of academic records (unofficial records are acceptable)

2-page research statement

Two research papers

Contact details of at least two references

Candidates may be asked to do an interview and present their research as part of the search process.

Additional Information:

This is a term position starting July 2027 and ending on June 30, 2028. Relocation funding 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 the lab PIs.

Please note that we will be conducting interviews virtually (phone and/or Zoom) for selected candidates until further notice.

Contact Information

Harvard Business School

Soldiers Field Road

Boston, MA 02163

Contact Email grose@hbs.edu Salary Range

$75,000 annually

Minimum Number of References Required 2 Maximum Number of References Allowed 4 Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Statement of Research
  • Publication
  • Publication 2
  • Transcript

Optional Documents

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