Postdoctoral Fellowship in Electrical and Computer Engineering

Position

Postdoctoral Fellowship in Electrical and Computer Engineering

Harvard John

A. Paulson School of Engineering and Applied Sciences (SEAS)

Computer Science

The John

A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seek applicants for a postdoctoral fellow in Electrical and Computer Engineering. This position is for a Postdoctoral Scholar in the area of information theory and artificial intelligence at the Harvard Information Theory Laboratory
. The successful candidate will work under the supervision of Prof. Flavio Calmon at Harvard SEAS and will develop information-theoretic methods for alignment, privacy, and reliability in modern AI systems.

• PhD in Computer Science, Electrical Engineering, Applied Mathematics, or a related discipline, or be confident of its completion by the start of this position.

• Publications in information theory and machine learning venues such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT.
• Experience in machine learning and information theory, and expertise in at least one area: AI alignment, differential privacy, or coding/information theory for AI systems.
• Proficiency in Python and experience with GPU cluster environments (e.g., SLURM) are a plus.

• Provide a CV, a Research Statement, and two or more letters of recommendation.
• The target start date is September 2026 (flexible). The position is funded for two years.

Email:
sgayervard.edu

$67,600 – $91,826 per year. Pay is offered based on rank, years of experience, training/qualifications, field of scholarship, and accomplishments.

• Curriculum Vitae
• Cover Letter
• Statement of Research

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