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Notice

AISB opportunities Bulletin Item

Two PhD Students on EU SIMBAD Project

http://www.cs.york.ac.uk/gsp/research/
Contact: erh@cs.york.ac.uk

Two PhD Students on  EU SIMBAD Project. 
  
  
SIMBAD is a 3 year EU FET (blue sky) project involving Delft Univerisity of Technology, ETH Zurich, IST Lisbon, University of Venice, 
University of Verona, and University of York. The overall project aim is to develop new methods 
for pattern analysis and machine learning based on potentially non-metric similarity data. 
York's contribution to the project will be the development of graph-based methods for the analysis of such data. We 
require one PhD student to work on the development of generative models for similarity data, and a second to work 
on spectral methods for the embedding and smoothing of similarity data. 
  
  
The positions are open to applicants from the EU. The project will cover both the stipend (GBP 12.5k or Eu16.5k per year 
for three years) and the tuition fees at the home/EU rate.  The project commences on 1st April 2008, and will involve some travel to the collaborating 
institutions. As a PhD student at York, you will join a flourishing group of 4 academic staff and 16 researchers. The group has 
an international reputation for its work in computer vision and pattern recognition, with a track record of high quality publication. 
Over the past 10 years the group has graduated some 25 PhD students. You will be supervised by either Professor Edwin Hancock 
or Dr Richard Wilson. 
  
  
Details of the research groups activities can be found at http://www.cs.york.ac.uk/cvpr. 
Informal enquiries can be made to either Edwin Hancock (erh@cs.york.ac.uk) or Richard Wilson (wilson@cs.york.ac.uk). 
Application forms can be obtained from 
  
http://www.cs.york.ac.uk/gsp/research/ 
  
and should be returned indicating that you are applying to work on the SIMBAD 
project and naming Hancock and Wilson as potential supervisors. 
  
  
Edwin Hancock, 
Department of Computer Science,
University of York,
York YO10 5DD, UK. 
  
email: erh@cs.york.ac.uk
URl: http://www.cs.york.ac.uk/~erh