Please see details of two PhD studentship opportunities in the Statistics section
of the Maths department at Imperial College London.



1). PhD Studentship
Title: Joint Modelling of Edge Evolution in Dynamic Graphs
Supervisor(s): Dr Nick Heard and Dr Niall Adams
Start Date: October 2014
End Date: April 2018

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 ￡13,590
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,
http://www3.imperial.ac.uk/pgprospectus/howtoapply
naming Dr Nick Heard as the supervisor and "Joint Modelling of Edge
Evolution in Dynamic Graphs" as the research area.



2). PhD Studentship
EPSRC/CASE Award
Supported by the Heilbronn Institute for Mathematical Research,
University of Bristol

Title: Performance and model adequacy assessment for streaming analytics
Supervisor(s): Dr Niall Adams and Dr Nick Heard
Start Date: October 2014
End Date: April 2018

A student is sought for an EPSRC PhD research project, under the CASE
(Cooperative Awards in Science and Engineering) scheme. The industrial
sponsor is the Heilbronn Institute for Mathematical Research (HIMR). The
studentship will be with the Statistics Section of the Department of
Mathematics, Imperial College London.

In the "Big Data" era, many modern computing systems chain together
statistical models (analytics) to operate on streaming data. Streaming
data analysis calls for algorithms that are efficient in both computer
operations and memory. Moreover, there is often a need for the algorithms
to only see a streaming data event once and the models are often
temporally adaptive, designed to match the unknown dynamics of the data
stream. The objective of this project is to develop methodology for
determining whether either a particular model, or a chain of such models,
is adequate and performing satisfactorily.

The successful candidate will be required to spend up to two months each
summer working at HIMR in Bristol gaining relevant experience. To be
considered for this studentship, candidates must be UK nationals and
prepared to undergo security clearance procedures.

The studentship will be funded for a period of 3.5 years and covers the
costs of university fees and will provide an annual stipend to the student
corresponding to the National Minimum Stipend (currently ￡13,590 per
annum) plus an additional sum.

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,
http://www3.imperial.ac.uk/pgprospectus/howtoapply naming Dr Niall Adams
as the supervisor and ³Performance and model adequacy assessment for
streaming analytics" as the research area.



Any queries about the two projects should be directed to Dr Nick Heard
([log in to unmask]) or Dr Niall Adams ([log in to unmask])
respectively.

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