From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.
Research Associate in Computational Statistics for Image Data
The Research Associate will work with Dr James Nelson on a Dstl-funded project to consider and draw upon recent developments in random fields, point processes, graphs, stochastic geometry, hierarchical representations, and/or multiresolution analyses to model both the statistical and structural/relational dependencies between key constituent components of image data. The aim will be to advance current understanding of how relational and contextual aspects of the data can contribute to tasks such as detection, classification, and segmentation.
There will be ample opportunities for collaboration. Aside from strong links with other departments, universities, institutions, and industry, the immediate research group currently comprises two other research associates and five PhD students all working on similar or related topics.
Candidates should hold or be close to submitting a PhD (or equivalent qualification) in Statistics. It is essential that the successful candidate has previous experience of computational statistics, knowledge of image data techniques and strong programming skills in Matlab, R, Python or C/C++.
The post comes with a generous travel and research expenses budget, is available immediately and is funded for 12 months in the first instance.
Closing date: 23 September 2014
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Page last modified on 04 sep 14 15:43