[visionlist] Fully funded PhD positions available at CVSSP

[armin mustafa]

*Fully-funded PhD studentships available*



Six fully-funded PhD studentships including fees and stipends available for
outstanding candidates to join the BBC partnership 'AI4ME' at the Centre
for Vision, Speech and Signal Processing (CVSSP) at the University of
Surrey.



The goal of the AI4ME research partnership is to enable future personalised
content creation and delivery at scale for the public, at home or on the
move. CVSSP research will address the key challenges for personalised
content creation and rendering by advancing computer vision and
audio-visual AI to transform captured 2D video to object-based media.
Research will advance automatic online understanding, reconstruction and
neural rendering of complex dynamic real-world scenes and events. This will
enable a new generation of personalised media content which adapts to user
requirements and interests. The new partnership with the BBC and creative
industry partners will position the UK to lead future personalised media
experiences. The suggested topics and for more information please visit the
link: https://ai4me.surrey.ac.uk/training

*About Us*

The Centre for Vision, Speech and Signal Processing (CVSSP)
<http://cvssp.surrey.ac.uk/> at the University of Surrey is ranked first in
the UK for computer vision. The centre leads ground-breaking research in
audio-visual AI and machine perception for the benefit of people and
society through technological innovations in healthcare, security,
entertainment, robotics and communications. Over the past two decades CVSSP
has pioneered advances in 3D and 4D computer vision, machine listening,
spatial audio and audio-visual AI, which have enabled award winning
technologies for content production in TV, film, games and VR/XR
entertainment.

BBC R&D (bbc.co.uk/rd) has a worldwide reputation for developments in media
technology going back over 90 years and has worked closely with CVSSP for
over 20 years. It has pioneered the development of object-based media,
working closely with programme-makers and technology teams across the BBC.
Recent work has included object-based audio delivery across multiple
synchronised devices for sports and drama, and AI for recognising wildlife
for natural history.

We are committed to equal opportunities and inclusion, and recognize the
value of diversity in science for innovation. We therefore would
particularly welcome applications from any under-represented groups and
communities. This is an opportunity for outstanding students to join a
world-renowned research centre at the start of a major new five-year
research partnership to take advantage of this vibrant collaborative
research environment.

*About You*

You will have a strong interest in media, whether it is audio or video, and
demonstrate a high level of academic achievement in relevant subject areas
and a clear aptitude for engineering research. We will need to be convinced
that you have the necessary background knowledge and research skills to
begin your doctoral training. You will have a 1st or 2:1 BSc/BEng degree
(or equivalent) and either an MSc/MEng in a relevant engineering or
scientific discipline or equivalent specialist experience. You will be able
to demonstrate excellent mathematical, analytical and computer programming
skills. Advantage will be given to applicants with experience in one or
more of the following: statistical analysis, software development,
signal/image processing, machine learning, computer vision, acoustics,
spatial audio. You will have advanced research skills, evidenced by a
significant Bachelors/Masters project, for example, involving experimental
research, appropriate use of the literature, computer-based simulations and
a formal dissertation-style report.

*Funding*

These PhD studentships cover UK university tuition fees for 3 years, a
tax-free enhanced maintenance grant of up to £18,609 per annum and
contribution to travel costs to present your research at national and
international conferences. Studentships are open to international students,
from the EU and overseas, provided they can support the difference between
home and overseas fees (£18,200).

*Next Steps*

General enquiries are welcomed by Professor Adrian Hilton by email (
a.hilton at surrey.ac.uk) or Dr Armin Mustafa (a.mustafa at surrey.ac.uk ), or to
the contacts listed above for queries on specific PhD topics. Otherwise,
you may apply directly:
www.surrey.ac.uk/postgraduate/vision-speech-and-signal-processing-phd

Please use your research statement to identify the topic(s) of greatest
interest to you and to explain how your skills meet the person
specification above. If you are in doubt about any aspects of PhD studies
or your application, please contact us.
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