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
The Centre for Vision, Speech and Signal Processing (CVSSP) 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.
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.
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).
General enquiries are welcomed by Professor Adrian Hilton by email (a.hi...@surrey.ac.uk) or Dr Armin Mustafa (a.mu...@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.
|Salary:||£43,413 to £63,674 per annum|
|Post Type:||Full Time|
|Closing Date:||23.59 hours BST on Friday 30 September 2022|