Fully funded PhD studentship in Statistical Science at University
College London, UK
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Duration of studentships: 3 years
Stipend: £15,590 per annum
Closing date: Applications will be considered on a rolling basis until
the studentships are filled or until final deadline of 30 Sep 2013 is
reached
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Applications are invited for a fully funded PhD studentship in
"Inhomogenous multiresolution random fields" at UCL.
As autonomous underwater vehicles and sensor modalities such as modern
sonar imaging 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 seabed floor and potential objects of interest
present major challenges to current statistical methodology in these
problem domains.
This project will consider new inhomogeneous, multiresolution random
field models and inferential statistics to underpin some key sonar
imagery analysis tasks such as enhancement, detection, and segmentation.
Candidates with an interest in one or more of the following areas are
strongly encouraged to apply: spatial models, random fields,
statistical/machine learning, computer vision, and image analysis.
Informal enquiries to Dr James Nelson ([log in to unmask]) are welcomed.
The award is tenable for 36 months (commencing in October 2013 or
shortly thereafter) 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).
Please find further information, including how to apply, at:
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?owner=5041178&ownertype=fair&jcode=1360332
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Dr. James Nelson
Lecturer
Department of Statistical Science
University College London
www.ucl.ac.uk/statistics/people/jamesnelson
www.ucl.ac.uk/~ucakjdb/
www.csml.ucl.ac.uk/people
Tel: (0)20 7679 1875
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