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Postdoctoral Fellow with the Digital Reskilling Lab - Digital, Data, and Design Institute, Harvard University

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Title Postdoctoral Fellow with the Digital Reskilling Lab - Digital, Data, and Design Institute, Harvard University
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 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. There are no teaching requirements for these open positions. 
The Digital Reskilling Lab, led by Professors Raffaella Sadun and Jorge Tamayo, is seeking a Postdoctoral Fellow. The mission of the Digital Reskilling Lab is to conduct research on workplace initiatives aimed at retraining and reskilling employees, whose jobs are being replaced by digital technologies. The Lab partners with organizations to test the feasibility, scalability, and effectiveness of different approaches to the skills challenge. An ideal candidate will be interested in conducting cutting edge research on reskilling initiatives, comfortable with advanced econometric techniques based on large datasets, and managing a team of research assistants. 
 
Position Description: 
 
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 heterogeneous 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, Stata, R, or Python);
  • Creating and managing very large datasets;
  • Machine learning skills;
  • Writing papers for management and economics journals; 
  • Interest in reskilling initiatives;
  • Working with partner organizations or companies.
Basic Qualifications
  • A Ph.D. in economics or related discipline. 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.
  • Proficiency in the use of large datasets using SQL, AWS, Snowflake.
  • Strong team player with excellent verbal and written communication skills.

Additional Qualifications
Special Instructions
Application Details:
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
  • 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.
Additional Information:
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 “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.
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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