PhD Fellowship at York Funded by DSTL

A fully-funded PhD fellowship for four years starting in October 2012 is available in the area of

Identifying Human Activities from Video Sequences

under the supervision of Dr. Adrian G. Bors of the Department of Computer Science, University of York, UK.

The successful applicant will be part of a research group in a top-rated department in the UK, which is well known internationally.

The PhD fellowship is funded by DSTL (Defence Science and Technology Laboratory) and will provide a salary for up to four years while covering university fees.

The PhD candidate will be expected to develop and implement new methodologies for processing and analysing video sequences showing various human activities. He/ she will be required to develop computational methods for extracting characteristic features, and to detect and track human motion. At the higher processing level, the PhD candidate will develop methods for classifying and detecting human activities from image sequences. The PhD project will require writing research reports and scientific papers as well as communicating and presenting research results to DSTL and to the scientific community at large.

This PhD fellowship is available only to citizens of EU countries. You will be expected to have an MSc or a good first degree in one of the fields Computer Science, Electrical and Electronics Engineering, Mathematics and Applied Mathematics or Physics and have a strong interest in scientific research. You should have knowledge or a strong willingness to quickly acquire the following:

  • Programming skills in Matlab and C
  • Good knowledge and understanding of algorithms and of the mathematics behind them
  • Good knowledge of written and spoken English
  • Ability to write scientific papers and reports as well as to present and demonstrate research results.

It would be expected that your MSc or final year BSc project was in an area related to Computer Vision, Pattern Recognition, Image Processing or Computational Intelligence.

Knowledge and experience with the following would be highly desirable:

  • Processing and analysing images and image sequences
  • Applied statistics and mathematics
  • Graph representation of data
  • Numerical assessment and analysis of experimental results.

If you are an EU citizen and consider yourself a suitable candidate for this DSTL-funded PhD fellowship you should send the following by email to adrian.bors@york.ac.uk:

  1. Your CV
  2. Short statement of your interest and how you would approach this research topic
  3. Short description of your final year or MSc project
  4. Transcripts with marks achieved during your previous study
  5. List of scientific papers published or submitted, if any
  6. Other relevant major achievements
  7. Names of two academic persons who can provide references for you if requested.

 

PhD funding available: 4 years
Start date: October 2012
Location: Dept. of Computer Science, University of York, York, UK
Contact: Dr. Adrian G. Bors (e-mail, web page)

All candidates will be considered for a preliminary selection and those with the strongest profiles will be contacted.

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