PhD Studentship at CVSSP, University of Surrey, UK (application deadline 7th August)

[Wenwu Wang <w.wang@xxxxxxxxxxxx>]

Dear List,

Please feel free to share the following message to prospective students
who may be interested. Thank you. Apologies if you have received
multiple copies.

Best wishes,

Wenwu Wang

-------------------------------------

PhD Studentship in Multimodal Blind Source Separation for Robot Audition
Centre for Vision Speech and Signal Processing (CVSSP)
University of Surrey

Applications are invited for a three-year PhD studentship funded by the
EPSRC to pursue research in the area of multimodal (audio-visual) blind
signal processing with applications to automatic separation of a target
speech signal from a mixture of sound sources. The project, starting on
Thursday, October 1, 2009, will be focusing on developing novel signal
processing algorithms and software tools to explore both auditory and
visual data with the aim of enabling a robotic system with certain
perceptual abilities of complex auditory scenes.

Successful applicants will join the CVSSP, a world-leading research
group in sensory (visual and auditory) data analysis and interpretation.
CVSSP is one of the largest UK research groups in machine vision and
audition with more than 70 researchers. It also has world-class audio
and video facilities that are uniquely placed for performing the
research in this project. CVSSP forms part of the Department of
Electronic Engineering, which received one of the highest ratings (joint
second position across the UK) in the last research quality assessment,
i.e. 2008 RAE, with 70% of its research classified as either 4*
("world-leading") or 3* ("internationally excellent"). As an additional
benefit, the successful applicant has the opportunity to join the DSTL
University Defence Research Centre in Signal Processing, which is
composed of signal processing researchers from over a dozen of
universities across the UK.

Entry Requirements Applicants should have a first or 2:1 honours degree
or equivalent in electrical and electronic engineering, computer
science, mathematical science, statistics, physics, or related
disciplines. Applicants should be able to demonstrate excellent
mathematical, analytical and computer programming skills. Advantages
will be given to the applicants who have experience in one or more areas
of audio and speech signal processing, image and video signal
processing, blind source separation, and/or machine learning.

Funding The studentship includes tuition fees (on a UK/EU rate of
approximately £3,400 per year) and an annual bursary of approximately
£13,000. Prospective students from any nationals are eligible to apply.
However, overseas (i.e. non UK/EU) applicants should be prepared to
cover the difference in tuition fees, which is approximately £8,000 per
year.

How to Apply
Applications should include a CV, a covering letter explaining the
reason why you are interested in this studentship, a scanned copy of
your undergraduate and/or postgraduate transcripts and certificate of
qualifications, names and contact details of two referees.

Please quote the above studentship in your email or covering letter.

Applications should be sent to:
Mr James Field
Centre for Vision Speech and Signal Processing
Department of Electronic Engineering
University of Surrey
Guildford, Surrey
GU2 7XH, UK.
E: james.field@xxxxxxxxxxxx

For informal inquiries about the studentship, please contact Dr Wenwu
Wang, email: w.wang@xxxxxxxxxxxxx  

Suitable candidates will be shortlisted within one week of the closing
date, and then invited for completing the application form and for an
interview.

For further information about the University of Surrey, please visit
www.surrey.ac.uk.

The closing date for applications is Friday August 7th 2009.

The University is committed to an Equal Opportunities Policy.


-- 
Wenwu Wang
Centre for Vision Speech & Signal Processing
Department of Electronic Engineering
Faculty of Engineering & Physical Sciences
University of Surrey
Guildford, GU2 7XH,
United Kingdom
T: +44 (0) 1483 686039
F: +44 (0) 1483 686031
E: w.wang@xxxxxxxxxxxx