Duration of Studentships:Â 42 months
Supervisor(s): Dr Nick Heard and Dr Niall Adams
Start Date: October 2014
End Date: April 2018
Project Description:
The Government Communications Headquarters (GCHQ) has agreed to sponsor a PhD research studentship with the Statistics Section of the Department of Mathematics, Imperial College London in the area of statistical analysis of dynamic graphs, such as computer or telecommunication networks. Particular interest might focus on joint modelling of pairs or clusters of relationships within such a network, and gaining understanding of how those relationships co-evolve, for purposes of security monitoring. Bayesian techniques will be deployed to formally characterise model uncertainty, which is important in the context of decision making.
The successful candidate will be required to spend in the region of 2-4 weeks per year at GCHQ headquarters in Cheltenham gaining relevant experience. To be considered for this studentship, candidates must therefore be UK nationals and prepared to undergo GCHQ's security clearance procedures.
The studentship will be funded for a period of 3.5 years. GCHQ will cover the costs of university fees and will provide an annual stipend to the student corresponding to the National Minimum Stipend (currently £13,726 per annum) plus an additional sum of £7,000 per annum.
Applicants are expected to have a masters level degree in a mathematical discipline containing a significant amount of statistics. The ideal candidate would be familiar with advanced statistical methods and possess strong computer programming skills.
To apply for the studentship, candidates should complete an online application on the College website which can be accessed by clicking the Apply link below, naming Dr Nick Heard as the supervisor and "Joint Modelling of Edge Evolution in Dynamic Graphs" as the research area.
Any queries should be directed to Dr Nick Heard (n.heard@imperial.ac.uk).
Information about Departments of Mathematics can be obtained from http://www.imperial.ac.uk.
Closing date for the recruitment: 16 December 2013
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