Imperial College London
Department of Mathematics
The Statistics section seeks applications from highly motivated individuals for a number of funded PhD opportunities.
The section has wide interests, embodied in the following large research groups: Time Series and Wavelets, Classification and Data Mining, Statistical Methods in Retail Finance, Statistical Genetics and Bioinformatics, and Statistical Methodology.
The following studentships are intended to start in October 2006. For informal discussion, please contact the named supervisor, or Dr Niall Adams ([log in to unmask]) for more details. Closing date for applications is 2 June 2006.
1).
Pattern Discovery and Detection.
Supervisor: Professor David J. Hand ([log in to unmask])
The National Patient Safety Agency collates data on patient safety incidents across the UK, with the aim of detecting common features and developing preventative strategies. This project will apply theory and methods developed for pattern discovery and anomaly detection to this problem. There are many open questions in this area. This is an EPSRC CASE award that will provide both fees and maintenance to UK applicants or EU applicants resident in the UK for the last 3 years.
3). Bayesian Methods in Metabonomics
Supervisors: Dr Maria De Iorio (Biostatistics)
Dr Dave Stephens ([log in to unmask])
The modelling and statistical analysis of metabonomics data is one of the most important areas of scientific investigation in the biological and life sciences. Advanced statistical, mathematical and computation techniques are vitally important in the success of this crucial technological area. The project will focus on the use of Bayesian statistical inference procedures, and the development of computational tools that can be used to analyze metabonomics data; specifically, the three types of analysis that will be used will be based on: flexible models based on wavelets and other basis functions; non-stationary time-series and state-space models; and finite mixture model.
further details at
https://icex.imperial.ac.uk/exchweb/bin/redir.asp?URL=http://www.ma.imperial.ac.uk/showparticularsAdJDFP.php?rowid=12
This is a BBSRC award that will provide both fees and maintenance to UK applicants or EU applicants resident in the UK for the last 3 years.
4). Customer Management Strategies
Supervisor: Professor David J. Hand ([log in to unmask])
Important issues in personal banking are tracking the effectiveness of customer management strategies, choosing between different strategies as early as possible, and studying the sensitivity of bad debt to outside influences. This project will be in collaboration with a financial institution.
5). Predictive Models for Consumer Credit Portfolios
Supervisor: Professor David J. Hand ([log in to unmask])
In the personal banking sector it is important to be able to identify debt portfolios which are performing badly, so that appropriate actions can be taken. The aim of this project is to develop predictive models which can be used to allocate resources efficiently across a range of consumer debt portfolios. This project will be in collaboration with a financial institution.
6). Statistical learning methods for data fusion
Supervisor: Dr Giovanni Montana ([log in to unmask])
Over the last few years, pharmaceutical research has evolved the widespread use of large, multi-platform studies. These studies result in vast concurrently
collected databases comprising thousands of genotypic, transcriptomic, proteomic and metabonomics variables. There is now an urgent
need to develop statistical methodology that can analyze large, heterogeneous, multi-platform and multi-species data sets and provide coherent
conclusions from multiple experimental outputs.
The aims of this project are to use statistical learning methods, both unsupervised and supervised, to explore and discover meaningful relationships between
multiple data sources. Available data include very large transcriptomic and metabonomics measurements from several tissues in humans and mice, under
multiple experimental conditions. Depending on the candidate's interests, there will also be the opportunity to jointly analyze imaging and genomics data, in
collaboration with new Imaging Centre at the Hammersmith Hospital and GlaxoSmithKline.
Essential skills: A good first or Master's degree in mathematics, statistics or a related subject; good programming skills or attitude towards programming; a strong interest
for biology and genomics applications. Previous experience with the analysis of large data sets is beneficial.
Funding for this position (fees and maintenance) is available for UK applicants, or EU applicants resident in the UK for the last three years.
To apply, please complete an application from
http://www.ma.ic.ac.uk/pgstudies.php
Return the completed application to
Admissions, Registry
Level 3, Sherfield Building
Imperial College London
South Kensington campus
London SW7 2AZ
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