Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey
Four research posts available in Audio-Visual AI, Computer Vision and Audio:
Research Fellow B https://jobs.surrey.ac.uk/Vacancy.aspx?ref=015321
Research Fellow A https://jobs.surrey.ac.uk/vacancy.aspx?ref=015121
2x Research Software Engineer/Research Assistant https://jobs.surrey.ac.uk/vacancy.aspx?ref=015621
Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences.
The goal of the research partnership is to realise 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 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, spatial audio and audio-visual AI which have enabled award winning technologies for content production in TV, film, games and immersive 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.
This is an opportunity for outstanding researchers to join a world-renowned research centre at the start of a major new five-year research partnership.
Research Fellow B
The Research Fellow B will be an experienced researcher with an excellent track-record of publication in leading academic forums and post-doctoral research leadership. The successful candidate will take an active role in leading the research programme, contributing novel machine learning approaches to real-world dynamic scene understanding and reconstruction from video, and co-supervision of post-doctoral and PhD researchers.
Research Fellow A
The Research Fellow A will hold a PhD in computer vision, audio and/or audio-visual AI with a track-record of publication in leading academic forums. The successful candidate will contribute novel machine learning approaches advancing audio-visual AI to transform video of real-world scenes to object-based representation and neural rendering. The post-holder will collaborate with the team and project partners to realise personalised media experiences.
2x Research Software Engineer/Research Assistant
The Research Software Engineer/Research Assistant will have experience of research and software development in computer vision, audio and machine learning. The post holder will support the research programme, contributing to research and technologies which enable the transformation of video to audio-visual objects, production of personalised media experiences and object-based audio-visual rendering.
All posts are at the core of a research team working together with the BBC, University and industry partners to realise personalised object-based media experiences at scale for offline content and live events. These posts will enable individuals to advance knowledge in computer vision, audio and machine learning and raise their own academic and research profile by joining Europe’s largest research centre in this field. All posts will initially be offered for a fixed term which is extendable for the 5 year duration of the partnership.