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Postdoctoral Fellow, Digital, Data, and Design Institute
Harvard University
Application
Details
Posted: 23-Nov-25
Location: Cambridge, Massachusetts
Internal Number: 15567
School: Harvard Business School
Position Description:
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for a Postdoctoral Fellow to start ASAP through February, 2027 with strong potential for reappointment based on funding and performance.
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.
Business, the global economy, and societies around the world are facing dramatic upheaval as a result of rapid technological change driven simultaneously by digitization, the application of artificial intelligence and machine learning to all facets of company, economic, and human data, and a new emphasis on the importance of design and innovation on value creation for stakeholders. Postdoctoral Fellows at D^3 will work on various research projects related to these phenomena, including but not limited to: Business Model Transformation; Operating Model Transformation; Organizational and Workforce Transformation; Performance and Metrics; Data, Privacy and Transparency; and Societal Impact.
The Postdoctoral Fellows will work under the direct supervision of faculty Principal Investigators and the Senior Director of Labs. They will work closely with the Research 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.
Candidate Profile – We are seeking candidates who bring experience with one of the following:
Programming and Data Handling: Experience with SQL, PySpark, and cloud-based data tools such as Azure Data Lake, Synapse, or Fabric; and strong command of data wrangling, cleaning, and large-scale dataset management.
Machine Learning/Deep Learning: Experience with PyTorch, TensorFlow, or Hugging Face; embedding models; and model validation/deployment.
Causal Inference/Experimentation: Knowledge of experimental design, randomization, and causal identification methods.
There are no teaching requirements for these open positions.
Basic Qualifications:
A Ph.D. or equivalent degree in computer science, statistics, economics, management science, information systems, operations, or other related quantitative and/or social science domains.
PLEASENOTE: 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 institution's Registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been conferred. No exceptions.
Contact Information:
Harvard Business School Soldiers Field Road Boston, MA 02163
Contact Email: kdestadler@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.
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.