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Postdoctoral Fellow - Tech for All Lab
Harvard University in Cambridge, Massachusetts
 
 
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Date Posted May 21, 2022
Category
Admin-Laboratory and Research
Employment Type
Application Deadline Open until filled
 
 
 

Details


Title Postdoctoral Fellow - Tech for All Lab
School Harvard Business School
Department/Area
Position Description
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows to work on research activities at our newly formed research labs. D^3 will have a formal launch in July 2022 with 10 newly minted labs that will provide cutting edge research faced by academics and practitioners. 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 Lab Manager of each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. 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, and writing targeted at peer reviewed social science journals. Candidates should have some 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/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;
· Working with field research, understanding how to work with partner organizations, including government or companies.
Additional Information:
This is a term position through June 30, 2023, 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 “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/.
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 manager.
While we continue to monitor the evolving COVID-19 guidelines and restrictions, we appreciate your understanding and flexibility with our interview process. Please note that we will be conducting interviews virtually (phone and or Zoom) for selected candidates until further notice.
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.
Basic Qualifications
· A Ph.D. in economics, management, business, sociology, or related field. 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 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.
Additional Qualifications
· Strong team player with excellent communication skills
Special Instructions
Application Details:
Applications will be accepted until the position is filled. To apply Please emaild3@harvard.edu with the subject “Tech for All Lab – Postdoctoral Fellow”. 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 undergo an assessment as part of the interview process.
Contact Information
Laura Kelley, Associate Director, Research Staff Services
Harvard Business School
Soldiers Field Road
Boston, MA 02163
Contact Email lkelley@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
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