PhD Studentship in Computer Vision, UK  

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Digital Image Research Centre (DIRC)

Kingston University, UK

We wish to appoint a PhD student to conduct research on the next generation of video surveillance systems.

The work will be funded by BARCO, a major global manufacturer of video visualisation systems (subject to final contract).

The project will address the need for robustness in object classification, tracking and situation assessment for large distributed surveillance applications. In particular it will deal with the investigation and evaluation of multi-camera tracking of heterogeneous objects.

You will work in close collaboration with a top industrial R&D department. The project will involve regular travelling to BARCO labs in Belgium.

Applicants must have a first degree (minimum 2i or equivalent) in Computer Science, Engineering, Physics, Mathematics, or related discipline.

Previous experience of digital signal processing or computer vision is desirable.

This is a three year studentship (reviewed annually) open to EU and non-EU citizens.

The successful applicant will receive an annual stipend of around £12,500 plus normal fees (non-EU citizens will be eligible to receive up to an additional £4,000 p.a. to help them pay the difference between home and overseas fees, so they will be expected to make a personal contribution of £2,000 p.a. towards fees).

At the end of the three year period you will be expected to have written the Doctorate thesis.

To apply, please contact:

Mrs B Tang, Research and Enterprise Officer,
Faculty of Computing, Information Systems and Mathematics,
Sopwith Building,
Kingston University,
Penrhyn Road,
Kingston upon Thames, KT1 2EE

(tel: +44 (0)20 8547 7054,
for an application form.

Please return the form, academic CV, references and all other required documentation to Mrs Tang.

Interviews for short listed applicants are expected to take place

If you would like to discuss the details of the studentship, please contact;

Dr Sergio A Velastin on,

visit our website: PhD Studentship in Computer Vision, UK , or

Phone on 44-208-547-7719.

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