applicants)
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 g.cormode@warwick.ac.uk and cm@warwick.ac.uk
by February 28th 2019. Shortlisted applicants will be contacted for a
follow-up discussion by phone or skype.
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