Postdoctoral Fellow — AI, Information Theory & Privacy

Harvard University; Harvard (IL); On-site; USD 67,600 - 91,826; Full time

Job summary

Harvard University invites applications for a Postdoctoral Fellowship in Electrical and Computer Engineering. The successful candidate will work in the Harvard Information Theory Laboratory, focusing on information-theoretic methods for AI. A PhD in a related field is required, and experience with information theory and machine learning is preferred. The position offers a competitive salary range of $67,600 to $91,826 and is funded for two years, beginning September 2026. Interested candidates should provide a CV, a Research Statement, and letters of recommendation.

Qualifications

• PhD must be completed by the start of the position.
• Experience in information theory and machine learning is preferred.

Responsibilities

• Develop information-theoretic methods for AI systems.
• Work under supervision of Prof. Flavio Calmon.

Skills

Publications in information theory

Proficiency in Python

Experience with GPU cluster environments

Education

PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline

Job description

Harvard University invites applications for a Postdoctoral Fellowship in Electrical and Computer Engineering. The successful candidate will work in the Harvard Information Theory Laboratory, focusing on information-theoretic methods for AI. A PhD in a related field is required, and experience with information theory and machine learning is preferred. The position offers a competitive salary range of $67,600 to $91,826 and is funded for two years, beginning September 2026. Interested candidates should provide a CV, a Research Statement, and letters of recommendation.