Fully funded PhD studentship in Statistical Science at University College London, UK
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
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 (j.nelson(at)ucl.ac.uk) 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: