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Research Opportunities Able candidates are sought to undertake an MSc in Advanced Methods in Computer Science, or Msc in Intelligent Imaging Systems. Applications are invited from students wishing to pursue research in computer vision, learning and visually augmented smart content leading to a Ph.D in Computer Science. Candidates should have a good first degree in an appropriate subject such as computer science, mathematics, physics or engineering provided they have sufficient experience in computing. Good graduates in philosophy or psychology will also be considered, provided they have adequate mathematical aptitude and computing skills. A number of project-based research positions may be available. Please see our research pages. About student funding Suitably qualified eligible candidates will be nominated for EPSRC, departmental or college studentships. About us The Queen Mary Vision Laboratory is one of the most active and prolific computer vision research groups with fundings from EPSRC, MOD, DTI, the Home Office and industry. Our research interests include: Face, gesture and action recognition Human behaviour recognition Smart content and video indexing Visually augmented virtual human models Modelling dynamic background Perceptual fusion Temporal prediction in dynamic scene understanding Real-time object detection and tracking Statistical learning theories Computational models of human visual perception Biologically inspired hardware and software for vision More information More information may be obtained from: Professor Sean Gong [Tel: +44 (0)20 7882 5249] Ms Rupal Vaja [Tel: +44 (0)20 7882 5225]

Updated November 2008