Postdoctoral Fellow, Digital, Data, and Design Institute
Harvard University, Boston, MA, United States
Postdoctoral Fellow, Digital, Data, and Design Institute Title: Postdoctoral Fellow, Digital, Data, and Design Institute
School: Harvard Business School
Department/Area: Digital, Data, and Design (D^3) Institute
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for a Postdoctoral Fellow to start ASAP through April 14, 2026 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.
Postdoctoral Fellows will work under the direct supervision of faculty Principal Investigators and the Senior Director of Labs, and closely with the Research Manager and Research Associate(s) at each lab.
There are no teaching requirements for these open positions.
Candidate Profile 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.
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.
PLEASE NOTE: If you have obtained your Ph.D. in the past 12 months you must 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 verifying the date the degree has been conferred. No exceptions.
Additional Qualifications Special Instructions: None.
Application Details Applications will be accepted until the positions are filled. Please apply via the Harvard system. Contact d3@harvard.edu for questions. 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.
Additional Information This is an immediate hire full-time term position through April 14, 2026, with strong potential for reappointment based on funding and performance. Relocation funding is not provided.
This is a hybrid position combining remote and onsite work at the Boston, MA campus. Harvard Business School expects all staff to be onsite a minimum of 3 days per week. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
Please note that interviews will be conducted virtually (phone and/or Zoom) for selected candidates.
Contact Information Harvard Business School
Soldiers Field Road
Boston, MA 02163
EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
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School: Harvard Business School
Department/Area: Digital, Data, and Design (D^3) Institute
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for a Postdoctoral Fellow to start ASAP through April 14, 2026 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.
Postdoctoral Fellows will work under the direct supervision of faculty Principal Investigators and the Senior Director of Labs, and closely with the Research Manager and Research Associate(s) at each lab.
There are no teaching requirements for these open positions.
Candidate Profile 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.
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.
PLEASE NOTE: If you have obtained your Ph.D. in the past 12 months you must 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 verifying the date the degree has been conferred. No exceptions.
Additional Qualifications Special Instructions: None.
Application Details Applications will be accepted until the positions are filled. Please apply via the Harvard system. Contact d3@harvard.edu for questions. 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.
Additional Information This is an immediate hire full-time term position through April 14, 2026, with strong potential for reappointment based on funding and performance. Relocation funding is not provided.
This is a hybrid position combining remote and onsite work at the Boston, MA campus. Harvard Business School expects all staff to be onsite a minimum of 3 days per week. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.
Please note that interviews will be conducted virtually (phone and/or Zoom) for selected candidates.
Contact Information Harvard Business School
Soldiers Field Road
Boston, MA 02163
EEO/Non-Discrimination Commitment Statement Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.
#J-18808-Ljbffr