PhD fellowship at York funded by DSTL

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

Identifying Human Activities from Video Sequences

under the supervision of Dr. Adrian G. Bors,
Department of Computer Science, University of York, UK.
You will be part of a research group which is well known
internationally in a top rated department in UK.
The PhD fellowship is funded by DSTL 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 analyzing video sequences
showing various human activities. He/she will be required
to develop computational methods for extracting characteristic
features, detect and track human motion. At the higher processing
level, the PhD candidate will develop methods used for
classifying and detecting human activities from image sequences.
This 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.

This PhD fellowship is available only for 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 learn quickly
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 analyzing images and image sequences
* Knowledge of applied statistics and mathematics
* Graph representation of data
* Numerical assessment and analysis of experimental results

If you are an EU country citizen and consider yourself as
a suitable candidate for this DSTL funded PhD fellowship
you should send the following by email to

– Your CV
– Short statement of your interest and how would you approach
this research topic
– Short description of your final year or MSc project
– Transcripts with marks achieved during your previous study
– List of scientific papers published or submitted, if any
– Other relevant major achievements
– 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


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