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Postdoctoral Fellow - Tech for All Lab at the Digital, Data, and Design Institute
Harvard University
Details
Posted: 24-Apr-25
Location: Cambridge, Massachusetts
Internal Number: 14699
School: Harvard Business School
Position Description:
The Digital Data Design (D^3) Institute at Harvard produces cutting-edge research into the changes in the business landscape as a result of digital and AI transformations. The Tech for All lab aims to broaden the benefits of digital innovation and entrepreneurship to include more people in developing economies, women, people of color, and those in economically disadvantaged circumstances or regions. The lab's team of collaborators generates data-driven evidence, disseminated through academic papers and practitioner-focused articles, regarding the constituencies for which we fail to invent. Research is equally focused on identifying the frictions that drive such inequities and exploring how firms can use design, data, and new digital technologies to better invent for everyone.
Our current projects include developing and evaluating a Generative AI assistant for millions of small businesses in Southeast Asia, studying how gender gaps in Generative AI usage affect tool development and benefits worldwide through large-scale surveys and experiments, exploring how AI can improve labor markets for underserved workers in emerging economies, and investigating how first-generation, low-income college students across the globe can leverage Generative AI for career growth and entrepreneurial success.
The ideal candidate will be a detail-oriented researcher capable of managing multiple large-scale projects simultaneously. You will take ownership of data collection, analysis, and experimental design across several concurrent studies, including randomized control trials, large-scale surveys, and field experiments.
A typical project involves:
- Designing and implementing experiments and surveys
- Managing and analyzing large datasets
- Developing and testing AI agents and prompts
- Coordinating with international partners and research teams
- Writing research papers for peer-reviewed social science journals
Required Technical Skills:
- Strong background in causal analysis and experimental design: difference-in-differences, fixed effects models, instrumental variables, treatment selection, power analysis
- Proficiency in R, Python, or Stata for statistical analysis
- Experience with SQL and data management
- Familiarity with Generative AI tools and LLMs
- Programming skills for processing raw data (including text manipulation)
Basic Qualifications:
- Ph.D. in economics, business, or related field (all degree requirements must be completed before start date)
- Demonstrated ability to manage multiple complex projects simultaneously
- Strong team player with excellent communication skills
- Experience working with international partners preferred
- Interest in AI, entrepreneurship, and economic development
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.
Contact Information:
Kate de Stadler
Recruiting Manager, Research Staff Services
HARVARD | BUSINESS | SCHOOL
HARVARD | BUSINESS | SCHOOL
Contact Email: kdestadler@hbs.edu
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; if you have any questions, please contact d3@harvard.edu.
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 2025 and ending on June 30, 2026 with potential for re-appointment for a second year based on performance and funding. Relocation funding not provided.
The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard's Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University's COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University's
Connections working at Harvard University
About Harvard University
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.
More Jobs from This Employer
https://careers.aaai.org/jobs/21272664/postdoctoral-fellow-tech-for-all-lab-at-the-digital-data-and-design-institute
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