A fully-funded PhD project in Data Privacy is available to be held at the University of Warwick, under the supervision of Prof. Graham Cormode and Prof. Carsten Maple.
The central focus of the project is on systems which adopt a statistical model of privacy, namely Differential Privacy and its Local variant. Local differential privacy (LDP) has been adopted by several major technology companies, leading to the technology being used by hundreds of millions users daily. The project will address questions including:
- As more data is released via implementations of local differential privacy, what are the security guarantees in practice?
- What statistics and models can be computed accurately under LDP, and what the tradeoffs are between the various parameters: the number of participants, the type of interaction, the accuracy of the results, and the level of privacy guaranteed?
- What is the utility of the model in new settings – for example, data arising in the mobile vehicular context?
The project is funded by the National Cybersecurity Centre (NCSC), and involves collaboration with Thales in the UK (led by Peter Davies). Suitable applicants will have a strong background in mathematics or statistics, and good knowledge of algorithms and computer science. The project will cover all tuition fees, and provide a stipend at the standard UKRI level. Due to the requirements of the sponsor, this studentship is only available to applicants with UK citizenship. Additional opportunities with the NCSC will be available during and after the completion of the project.
Applications, in the form of a CV and brief covering letter detailing background, confirmation of citizenship, and preparation of the applicant, can be sent to firstname.lastname@example.org and email@example.com by May 15th 2019 (extended deadline). Shortlisted applicants will be contacted for a follow-up discussion by phone or skype.