Uk: PhD Studentship in computer science

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Recently, the use of the Internet has been largely
influenced by increased participation and interaction of
users. We are currently witnessing the mass-scale
switchover among web content publishers from creating
on-line content themselves to providing the tools and
playgrounds for ordinary users to publish and share their
self-produced multimedia content, such as photographs
(Flickr.com) and video clips (YouTube.com). As a new web
content production circle, user-generated multimedia
content has enjoyed an enormous growth. For instance,
YouTube videos account for 60% of all videos watched online
in the UK and 45% in US. It has almost 20 million visitors
to the site each month, according to Nielsen/NetRating. But
users’ ability to obtain useful information grows at a
slow rate. Tools that support the effective recognition and
retrieval of relevant information are still primitive.

This project aims at developing intelligent content-based
indexing and retrieval tools for home users to annotate,
search, and share their self-generated multimedia content
(images/videos). To break down the difficulties raised by
the so-called semantic gaps of multimedia content, we
intend to create a new information indexing and seeking
paradigm in which the hidden concept and relevancy of
information items can automatically be determined by both
considering the interactions or contributions of users
(social-based) and analyzing the content of information
items (content-based).

Supervisors
Jun Wang (Lecturer, University College London)
Ian Kegel (Head of Future Content Group, BT Group Research
& Venturing)
Paul Marrow (Principal Multidisciplinary Researcher,
Broadband Applications Research Centre, BT Group)

About the Candidate
The ideal candidate should have a strong background in
machine learning (statistical pattern recognition), and
also considerable programming experience. Some experience
in multimedia content analysis is a plus. Funding is
available for UK candidates only, or candidates that can
demonstrate a relevant connection to the UK (usually
established by being resident for a period of three years
immediately before the date of application for an award).
Detailed guidelines on eligibility for EPSRC CASE
studentships are available on the EPSRC website. In
addition, the student must have an EU citizenship to
qualify for reduced UCL tuition fees.

About the Position
The PhD will be supervised by Jun Wang of University
College London, and Ian Kegel and Paul Marrow of BT
Research, located at Adastral Park. The position will be
funded by EPSRC/BT Industrial CASE Award scheme (details
can be found here). For eligible candidates, the funding
will cover UCL tuition fees and provide a stipend of at
least £15,300 per annum for 3 years.

Application and Information
If you wish to apply for this studentship, please use the
link http://www.ucl.ac.uk/prospective-students/graduate-study/application-admission/.
Make sure you specify PhD: "Multimedia Retrieval,
Adastral Park Campus" on the part of the form that
asks what you are applying for. Please ensure you mark the
department as "Adastral Park" in your application
and the name of the supervisor as Dr. Jun Wang.

Please also e-mail copy of your transcripts and a CV only
to c.churcher ‘at’ adastral.ucl.ac.uk
with the title "[PhD Studentship in Multimedia
Retrieval – by Jun Wang]", or send by post to Mrs C
Churcher, UCL Adastral Park Postgraduate Campus, Ross
Building PP3, Adastral Park, Martlesham Heath, Suffolk, IP5
3RE, UK.

Informal enquiries may also be directed to Jun Wang, J
(dot) Wang (at) adastral.ucl.ac.uk
with the title "[PhD Studentship in Multimedia
Retrieval]".

The closing date for applications is 31st December
2008.

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