Website University of Surrey
Applications are invited for three new researchers (two Research Fellows and one Research Engineer) to work full-time on an EPSRC-funded Fellowship project “AI for Sound”: https://www.surrey.ac.uk/news/fellowship-advance-sound-new-frontiers-using-ai
* Research Fellow in Machine Learning for Sound https://jobs.surrey.ac.uk/025620
* Research Fellow in Design Research for Sound Sensing https://jobs.surrey.ac.uk/025420
* Research Engineer (Research Fellow) in Sound Sensing https://jobs.surrey.ac.uk/025520
The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector. The idea is to bring “AI for Sound” technology out of the lab, helping to realize its potential to benefit society and the economy.
The Research Fellow in Machine Learning for Sound will investigate advanced machine learning methods applied to sound signals. The Research Fellow in Design Research for Sound Sensing will conduct user requirements and evaluation studies to drive the technology research and to ensure successful development and application of the project technology. The Research Engineer will be responsible for designing and building the hardware and software to be developed in the fellowship.
The post-holders will be based in the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley.
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, InnovateUK, charity and industry, and a turnover of £7M/annum. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage.
For more information about the posts and how to apply, please visit:
* https://jobs.surrey.ac.uk/025620 (Research Fellow in Machine Learning for Sound)
* https://jobs.surrey.ac.uk/025420 (Research Fellow in Design Research for Sound Sensing)
* https://jobs.surrey.ac.uk/025520 (Research Engineer (Research Fellow) in Sound Sensing)
Deadline: Friday 17 July 2020 (23:00 GMT).
For informal inquiries, please contact Prof Mark Plumbley https://www.surrey.ac.uk/people/mark-plumbley, firstname.lastname@example.org
To apply for this job please visit www.surrey.ac.uk.