PhD Positions at Imperial College London on Machine Learning For Data Privacy And Security

The 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 behavioural 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.

Imperial College London is 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 visit https://cpg.doc.ic.ac.uk/openings/

Deadline: 15 November 2021 

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

It is encouraged that all qualified candidates apply, particularly women, persons with disabilities, candidates from culturally and linguistically diverse backgrounds, and LGBTQIA+ communities.

About Imperial: Imperial College London, ranked 9th globally, is one of the top universities in the world. A full-time PhD at the South Kensington Campus takes 3-4 years, is fully funded and usually starts in October.