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 Customer Data Lab, led by Professors Ayelet Israeli and Eva Ascarza, is seeking a Postdoctoral Fellow. The goal of the Customer Data 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 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
Application Details:
Applications will be accepted until the position is filled. To apply please email the following d3@harvard.edu with the subject “Customer Data 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.
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.
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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.