Harvard University

Boston, Massachusetts United States


    December 13, 2022
TitlePostdoctoral Fellow with the Customer Intelligence Lab – Digital, Data, and Design Institute, Harvard University
SchoolHarvard Business School
Position DescriptionThe 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 Customer Intelligence Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a Postdoctoral Fellow. The goal of the Customer Intelligence  Lab is to leverage customer data to improve outcomes for firms, consumers, and society at large. The postdoctoral fellow will apply and develop methodologies to questions of interest in marketing and economics. 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 management science journals. The ideal candidate will have: Familiarity with methodological foundations, for example: statistics and econometrics, causal inference, machine learning methods, experimental design, modeling of unstructured data, non-parametric Bayesian methods, scalable inference, statistical computation, and visualization.Interest in applying advanced data analysis to improve research, marketing practice, and policy-making;Programming/scripting knowledge suitable for processing raw data for analysis (e.g., R, Python, Julia);One or more computational environments for statistical analysis (e.g., R, Stata);Experience writing papers for management science journals. 
Basic QualificationsBasic Qualifications:A Ph.D. involving empirical social sciences or programing (e.g., computer science, economics, marketing, machine learning, statistics, applied mathematics, or related fields). 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.Strong team player with excellent communication skills
Additional Qualifications
Special Instructions Applications will be accepted until the position is filled. Please do not contact lab faculty; if you have any questions, please contact d3@harvard.edu.  All applications should include the following: Curriculum vitaeCopy of academic records (unofficial records are acceptable)2-page research statementTwo research papersContact details of at least two references 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 BelongingHarvard 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 StatementWe 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 InformationLaura Kelley, Associate Director, Research Staff Services
Harvard Business School
Soldiers Field Road
Boston, MA 02163
Contact Emaillkelley@hbs.edu
Equal Opportunity EmployerWe 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 Required2
Maximum Number of References Allowed4