Postdoctoral Fellowship in Electrical and Computer Engineering

Position Overview

Postdoctoral Fellowship in Electrical and Computer Engineering

School:
Harvard John

A. Paulson School of Engineering and Applied Sciences

Department/Area:
Computer Science

We are seeking a Postdoctoral Scholar to work under the supervision of Prof. Flavio Calmon at the Harvard Information Theory Laboratory. The candidate will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems.

Develop and apply information-theoretic methods to address issues related to AI alignment, privacy, and system reliability.

• Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline, or expected completion by start of the position.
• Experience and publications in information theory and machine learning venues such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT.
• Expertise in at least one of AI alignment, differential privacy, or coding/information theory for AI systems.
• Proficiency in Python and experience with GPU cluster environments (e.g., SLURM).

• Curriculum Vitae
• Research Statement
• Two or more letters of recommendation

Target start date:
September 2026 (flexible). Position is funded for two years.

Minimum references: 2;
Maximum references: 5.

Email: sgayervard.edu

Range: $67,600 – $91,826

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