3 Funded PhD Positions in Statistics

Imperial College London - Department of Mathematics

The three positions will start in October 2018.

Candidates should have a first-class undergraduate degree, or master’s degree (or equivalent) in Statistics or a closely related subject.

1. Statistical Methods for Instrumented Infrastructure

This is an Admin-Roth studentship*, under the supervision of Dr Din-Houn Lau.

The Statistics section is seeking a PhD student to work in the area of Data-Centric Engineering. The PhD student will join a vibrant Statistics Section at Imperial College London as well as the Data Centric Engineering team at the Alan Turing Institute.

In this project we will be working with data procured from railway bridges instrumented with fibre-optic sensors. The main aims of this project are to statistically characterize the structural health of instrumented structures, develop tools to monitor multiple structures and detect changes.

Please send a cover letter, CV and undergraduate/masters transcript(s), to Dr Lau - dhl@imperial.ac.uk

2. Statistical Theory

This is an Admin-Roth studentship*, under the supervision of Dr Heather Battey.

We seek applications from candidates with a very strong undergraduate degree in mathematics or a related discipline with a strong interest in the theoretical aspects of statistics. As a PhD student, you will work on areas related to high-dimensional parametric statistical inference.

Please send a cover letter, CV and undergraduate/masters transcript(s), to Dr Battey - h.battey@imperial.ac.uk. The cover letter should explain your motivation for applying and give an outline research proposal.

*Admin-Roth studentships cover 3.5 years: Home/EU tuition + RCUK stipend + research training grant.

Overseas candidates are welcome to apply. However, if selected, the Overseas student will receive the funding at Home student level. Therefore, the Overseas student would be liable to the difference between Home and Overseas fees (approximately £17,000 per year).

3. Statistical cyber-security

This is an EPSRC/GCHQ studentship, under the supervision of Prof Niall Adams.

Modern enterprise cyber-security systems often handle “streaming data” – an unending sequence of data reflecting aspects of the status of the enterprise network. In this context, statistical methods need to handle several problems: compute and memory efficient updating, and automatic adaptation to temporal variation. In such systems, the output from one statistical procedure may be the input to another. Naturally, this raises questions about the reliability of the output of statistical methods, and their role in downstream analysis. This project will develop novel methods of assessing and scoring the adequacy of streaming statistical procedures. Such scores provide the basis for both reconstructing the model and moderating the response to the output.

Please send a cover letter, CV and undergraduate/masters transcript(s), to Prof Adams - n.adams@imperial.ac.uk

  • The EPSRC/GCHQ studentship covers 3.5 years: Home tuition + generous stipend + research training grant.
  • To be eligible for the EPSRC/GCHQ studentship, the applicant must be a British citizen willing to acquire a level of security clearance. The student will spend one month each year working on classified problems, with domain experts to obtain hands-on experience with real data.

After having been selected by the supervisors for any of the three positions above, candidates will then submit an application to the programme: G1ZX - Mathematics Research

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Type / Role:

PhD

Location(s):

London