Postdoctoral Fellow with the Tech For All Lab - Digital, Data, and Design Institute, Harvard University
Location: Cambridge, Massachusetts
Internal Number: 12100
School: Harvard Business School
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows for academic year 2023-2024 to work on research activities at our research labs. D^3 launched in the summer of 2022 with 12 labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu.
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. D^3 is looking for candidates with diverse backgrounds and/or new perspectives from the social and computational sciences. There are no teaching requirements for these open positions.
The Tech For All Lab, led by Professors Tarun Khanna and Rem Koning, is seeking a Postdoctoral Fellow. The 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 will shed light on how digitization, data, and design can create value for firms and consumers who are often overlooked by, or who are simply the last to benefit from, new technologies.
A typical empirical project involves refining a research question, designing an experiment or survey, analyzing historical and experimental data using contemporary computational tools, and writing targeted at peer-reviewed social science journals. Candidates should have 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 interference;
Programming and scripting tools needed to process large amounts of raw data for analysis (e.g., text manipulation);
Machine learning and AI methods for text and image analysis and generation;
One or more computational environments for statistical analysis (e.g., R, Python, or Stata);
Writing papers for quantitative social science journals (e.g., Management Science, American Sociological Review, Quarterly Journal of Economics, Nature Human Behavior);
Working with field research, understanding how to work with partner organizations, including government or companies.
A Ph.D. in economics, operations, management, sociology, or a related field. Candidates with a background in Computer Science or Statistics who are interested in applying their skills to social science questions and managerial problems are also encouraged to apply. PLEASENOTE: 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 institute'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
Laura Kelley, Associate Director, Research Staff Services Harvard Business School Soldiers Field Road Boston, MA 02163
Contact Email: firstname.lastname@example.org
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 email@example.com.
All applications should include the following:
Link to Github account and/or any software developed
Copy of academic records (official records are acceptable)
2-page research statement describing prior research experience and future research plans
Two representative publications (preprints are acceptable)
Three letters of recommendation.
Candidates may be asked to undergo an assessment as part of the interview process.
This is a term position through June 30, 2024, with the strong possibility of renewal based on funding and performance. 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
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