Postdoctoral Fellow, HBS AI Institute - LISH/Data Science & AI Operations Lab

Harvard University; Boston (MA); On-site; USD 68,000 - 83,000; Full time

Job summary

Harvard University’s HBS AI Institute and the LISH/Data Science & AI Operations Lab seek a Postdoctoral Fellow skilled in computer science, statistics, operations research, or related fields. The fellow will develop quantitative methods at the interface of learning, experimental design, and optimization to address AI deployment challenges in partner organizations.

The role involves collaboration across disciplines with HBS and AI Institute faculty, contributing to research on transformation,

Qualifications

• A Ph.D. or equivalent degree in Statistics, Operations Research or Management, Computer Science, or Information Systems.
• All degree requirements must be satisfied prior to the fellowship start date.
• There are no teaching obligations for this position.

Responsibilities

• Develop novel quantitative methods at the interface of statistical learning, experimental design, and optimization to address AI operationalization challenges.
• Collaborate with Harvard Business School and AI Institute faculty and researchers to develop methods for modern organizations.
• Engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and Transparency, and Societal Impact.

Skills

Causal inference

Reinforcement learning

Experiment design

Large-scale data analysis

Machine learning

NLP

Algorithmic decision systems

Education

Ph.D. or equivalent

Statistics

Operations Research

Computer Science

Job description

Postdoctoral Fellow, HBS AI Institute - LISH/Data Science & AI Operations Lab

School

School Harvard Business School

Department/Area

Position Description

The HBS AI Institute and the LISH /Data Science & AI Operations Lab seek an enthusiastic Postdoctoral Fellow skilled in computer science, statistics, operations research, or related computational fields. As part of an interdisciplinary research team dedicated to advancing management science, the fellow will develop novel quantitative methods at the interface of statistical learning, experimental design, and optimization to address challenges created by the operationalization of AI within partner organizations.

The Postdoctoral Fellow will play a pivotal role within the LISH /Data and Science Operation Lab team, collaborating with Harvard Business School ( HBS ) and AI Institute faculty and researchers to develop methods that underpin modern organizations. A unique aspect of the lab is that it fosters collaborations among operations researchers, statisticians, and computer scientists to overcome the methodological challenges posed by the misalignment between historical methods underpinning modern data science, which were developed for significantly different contexts and applications than current AI-driven business use cases. Postdoctoral Fellows at the AI Institute will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and Transparency, and Societal Impact.

Candidates should bring expertise in areas such as:

• Causal inference and the design and analysis of experiments
• Reinforcement learning and sequential decision-making
• Analysis of complex systems, networks, and large-scale data
• Machine learning, generative AI, NLP , or algorithmic decision systems

Ideal applicants will have a strong background in operations research, statistics, or computer sciences and the ability to work across disciplinary boundaries to generate rigorous, high-impact insights. There are no teaching obligations for this position.

Basic Qualifications

A Ph.D. or equivalent degree in Statistics, Operations Research or Management, Computer Science, or Information Systems. All degree requirements must be satisfied prior to the fellowship start date.
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.

Salary Range

$75,000 annually

Minimum Number of References Required

Minimum Number of References Required 2

Maximum Number of References Allowed

Maximum Number of References Allowed 4

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.

Supplemental Questions

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Contact Information

Harvard Business School
Soldiers Field Road
Boston, MA 02163

Contact Email

Contact Email [e-mail]