Postdoctoral Fellow, Digital, Data, and Design Institute

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Title:

Postdoctoral Fellow, Digital, Data, and Design Institute

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 (Use the "Apply for this Job" box below)..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.

• 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, Tensor Flow, or Hugging Face; embedding models; and model validation/deployment.
• Causal Inference/Experimentation:
  Knowledge of experimental design, randomization, and causal identification methods.

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.

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 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.

Applications will be accepted until the positions are filled. Please apply here via the Harvard system. Please do not contact lab faculty; if you have any questions, please contact d3
.

All applications must include the following:

• Statement of research
• Two representative publications
• Two letters of recommendation

Candidates may be asked to undergo an assessment as part of the interview process.

This is an immediate hire full-time term position through February 2027, with strong potential for reappointment based on funding and performance. Relocation funding not provided.

This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week, and departments provide onsite coverage Monday – Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.

Please note that we will be conducting interviews virtually (phone and/or Zoom) for selected candidates.

Harvard Business School
Soldiers Field Road
Boston, MA 02163

d3

$75,000 annually

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