PhD positions at Imperial College London on ML for data privacy and security

Our Computational Privacy Group at Imperial College London is offering fully funded PhD positions for 2021.

Topics of current interests include re-identification of individuals in large-scale behavioral datasets; statistical or machine learning-based attacks against privacy-preserving data systems or aggregates, privacy of machine learning models, as well as privacy engineering solutions such as differential privacy and query-based systems.

We are looking for candidates who love exploring new ideas, are willing to collaborate with others, and would like to generate impact through their research. Our research has been published in top journals and conferences such as Science, Nature Communications, or Usenix Security and has been widely cited in the press and public policy documents.

For full details, please consult

Deadline: Oct 15th (preferred) or Nov 15th, 2021

We encourage all qualified candidates to apply, in particular women, disabled, BAME, and LGBTQIA+ candidates.


Computer Science Engineering, Electrical Engineering, Mathematical Engineering








Fully funded positions

Wanted Profile

Recommended prerequisites. MSc or MEng (4y BEng will be considered) in computer science, statistics, mathematics, or a related field. Experience in statistics and/or machine learning is a plus.