Details
Posted: 13-May-22
Location: Cambridge, Massachusetts
Salary: Open
School: Harvard Business School
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 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
Additional Qualifications:
This is a term position through June 30, 2023, with the strong possibility of renewal based on funding and performance. Relocation funding not provided.
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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
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Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.
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