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Face matching for automatic identity retrieval, recognition, verification and management


Faculty of Engineering and Physical Sciences

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Prof J Kittler No more applications being accepted Funded PhD Project (European/UK Students Only)

About the Project

FACER2VM: Face matching for automatic identity retrieval, recognition, verification and management

A fully-funded PhD Studentship is available for a UK or EU student to join the flagship FACER2VM project funded by EPSRC. The goal of FACER2VM research is to develop technologies for unconstrained face recognition. FACER2VM is a collaborative multidisciplinary project between the Universities of Surrey, Imperial College London and the University of Sterling. The successful candidate will develop automatic techniques for recognizing individuals in video based on face and soft biometrics. Although the PhD researcher will be based at the Centre for Vision, Speech and Signal Processing, University of Surrey, research will be conducted within the FACER2VM wide project team providing opportunities for collaboration and extended secondment to other FACER2VM partners. Further information about the FACER2VM research project is available at facer2vm.org


Funding Notes

Funding is available for UK or EU nationals only and covers full tuition fees (home rate) and a stipend at the rate specified by the Research Council (rate for 2016-2017 is £14,057 p.a. tax-free). The award will be for a period of 3 years starting in October 2016. There may be a possibility of converting the award to an industrial case studentship, which would attract an enhanced stipend (~£18,000 p.a. tax-free).


References

How to Apply: send (i) cover letter, (ii) curriculum vitae, (iii) outline research proposal (max. 2 pages), (iv) details of two academic referees, and (v) copies of transcripts and certificates of qualification to Paul Koppen p.koppen@surrey.ac.uk. For specific information about the PhD research project please contact Professor Josef Kittler j.kittler@surrey.ac.uk.

Suitable candidates will be shortlisted within one week of the closing date, then invited to complete the formal application process including an interview.
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