Fully funded PhD studentship in Statistical Science at University
College London, UK
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Duration of studentship: 3 years
Stipend: £15,590 per annum
Studentship start date: October 2014
Application closing date: Applications will be considered on a rolling
basis until the studentship is filled. Apply as soon as possible to
avoid disappointment!
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Applications are invited for a fully funded PhD studentship in
"Computational statistics for inhomogenous multiresolution random
fields" at UCL. The studentship will commence in October 2014 and may
involve some visits to the Centre for Maritime Research and
Experimentation in La Spezia, Italy. The award is tenable for 36 months
and covers tuition fees plus a stipend of £15,590 per annum (based on
the standard UK Research Council rate with London weighting).
This studentship may only be awarded to applicants liable to pay tuition
fees at the UK/EU rate (i.e. it cannot be used to part-cover overseas
tuition fees).
Description
This project will consider new computational statistics and
inhomogeneous, multiresolution random field models to underpin some key
image data analysis tasks such as enhancement, detection, and segmentation.
As autonomous systems become ever more sophisticated there is growing
interest in spatial-statistical models and computer-aided approaches to
data analysis for various problems in the oceanography, oil and gas,
defence, and counter-terrorism sectors. In addition to the myriad noise
sources polluting the data capture process, the complexity and
variability of the environment and potential objects of interest present
major challenges to current statistical methodology in these problem
domains.
Candidates with an interest in just one (or more) of the following areas
are strongly encouraged to apply: computational statistics, spatial
models, sparse inference, random fields, statistical/machine learning,
computer vision, and image analysis. Informal enquiries to Dr James
Nelson (http://www.ucl.ac.uk/statistics/people/jamesnelson) are welcomed.
Person Specification
The requirement for admission to the MPhil/PhD in Statistical Science is
a 1st class or high upper 2nd class BSc degree, or an MSc with merit or
distinction in Mathematics, Statistics, Computer Science, or a related
quantitative discipline. Overseas qualifications of an equivalent
standard are also acceptable.
How to apply
Candidates should apply for the Research Degree: Statistical Science
(RRDSTASING01) in the usual way by completing the online form at:
http://www.ucl.ac.uk/prospective-students/graduate/
and, in addition, send a covering letter/email directly to Dr. James
Nelson and cc to [log in to unmask]
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Dr. James Nelson
Senior Lecturer
Department of Statistical Science
Centre for Computational Statistics and Machine Learning
University College London
www.ucl.ac.uk/statistics/people/jamesnelson
www.ucl.ac.uk/~ucakjdb/
www.csml.ucl.ac.uk/people
Tel: +44 (0)20 7679 1875
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