Research Assistant in Ecological Computing (part-time) (ref. 16943), University of Bristol

Updated: over 5 years ago
Location: Bristol, ENGLAND
Deadline: The position may have been removed or expired!

Research Assistant in Ecological Computing (part-time) (ref. 16943)
School of Physics
Fixed Term Contract (One year)
£30,122 - £33,884 (pro rata)
Level a in Pathway 2
Closing date for applications:
9:00am 09 Feb 2012
Anticipated interview date:
13 Feb 2012
Anticipated start date:
06 Mar 2012


The School of Physics at the University of Bristol is seeking an outstanding individual for a challenging interdisciplinary project carried out in collaboration between the Faculties of Science and Engineering. The project concerns the development, integration and evaluation of biometric penguin identification systems as tools for biological research. In particular, the post will involve adapting image processing algorithms to truly large scale operation and providing straightforward-to-use interfaces to make the system suitable for use by researchers who are not trained in computer sciences. The research will be carried out at the University of Bristol and may involve a brief deployment to South Africa to visit a colony of African penguins, on Robben Island.
This post provides excellent scope for cutting-edge integrative research at international level and for personal development. You should have, or expect to obtain before February 2012, a PhD degree in computing with a focus on computer vision. Exceptional individuals with an outstanding record in industrial research are also encouraged to apply. You should be highly motivated to work in an interdisciplinary environment and bring a scientifically critical mind to the position as well as a constructive, communicative and focused personality. On a technical level, the post requires experience in working on vision-related projects and in-depth knowledge of OpenCV, C/C++ and SQL. Knowledge in Delphi/Object Pascal would be an advantage. You should have experience in working with statistical learning algorithms, local feature descriptors and spatial models.
This is a part-time position working half-time for a period up to 12 months (although other flexible working arrangements may be possible).
If successful, you may be appointed either on a fixed-term or an open-ended contract depending on the extent of your previous relevant research experience. Three years’ appropriate and relevant experience at another higher education institution would normally lead to an appointment on an open-ended contract. Further information can be found at

Further information

Download full details (16943fds.doc)

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Contact for informal enquiries:
Professor P Barham ( | 0117 928 8711)

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