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. Responsibilities Develop and apply information-theoretic methods to address issues related to AI alignment, privacy, and system reliability. Qualifications 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). Application Requirements 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. Contact Information Email: View email address on click.appcast.io Salary Range: $67,600 – $91,826 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 and non-discrimination policies help all community members participate fully in work and campus life free from harassment and discrimination. #J-18808-Ljbffr