Prof. Seth Neel and Prof. Salil Vadhan invite applications for the following Postdoctoral Fellowship positions at Harvard University starting in Summer of 2025.

• Theory of Differential Privacy. The selected candidate will be expected to lead research in privacy-preserving data analysis/machine learning that is motivated by practice but has a strong theoretical underpinning. A background and strong interest in differential privacy required. Potential projects could concern private linear regression and related problems, the connection between differential privacy and properties like generalization and replicability, and various relaxations or alternative privacy notions. Successful applicants will be strong technically as well as have an inclination towards real-world problems. We are looking for applicants with demonstrably strong research skills, ideally, with publications in top venues in machine learning or theoretical CS -- although this is not a hard requirement (e.g., ICML, NeurIPS, ICLR, STOC, FOCS, ALT, COLT). Candidates must have a Ph.D. or equivalent degree in computer science, statistics, or a closely related field. Experience implementing DP algorithms and machine learning models in Python preferred.

Application Process. The positions are available immediately and can be renewed annually. Interested applicants should apply via this form and submit the following documents:

• Curriculum Vitae
• Link to Github account and/or any software developed
• Two representative publications (preprints are acceptable)
• Statement of Research (2 pages) describing prior research experience and future research plans
• Three letters of recommendation (will be solicited after the initial review)

We are currently reviewing applications for this position. Interested candidates are encouraged to submit their applications as soon as possible. We will continue accepting applications after this deadline if the position is not filled.