Research Fellow on Machine Learning for Perceptual Quality Prediction of Spatial Music

Applications are invited for a Research Fellow (RF) position for 12 months within the Centre for Vision Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on building machine learning and AI models for perceptual quality prediction of spatial music.

The post is funded by a leading industry partner. The focus will be to develop machine learning and AI models and signal processing algorithms for perceptual quality prediction and rating of songs reproduced using 3D rendering algorithms., The post-holder will be based in CVSSP, and work under the direction of the Principal Investigator Prof Wenwu Wang, and in collaboration with the industrial partner.

The post-holder is expected to have a PhD degree (or equivalent) in machine learning, spatial audio, audio signal processing, audio perception, audio quality assessment, or a related area in electronic engineering, computer science, applied mathematics, or statistics. Preference will be given to those who have experience on machine learning/AI, spatial audio, but candidates who have experience in audio perception and signal processing are welcome to apply. The post-holder is expected to have strong analytical and programming skills in Python, Matlab or C/C++. The post-holder will also collaborate with other team members, such as the Research Fellow who focuses on listening tests and data curation.

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference., CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception and AI, with over 180 researchers. The Centre has state-of-the-art audio and video capture and analysis facilities supporting research in real-time video and audio processing and visualisation. CVSSP has a compute facility with 300 GPUs and >2PB of high-speed secure storage. The post-holder will also have access to the compute resources from Surrey Institute of People Centred AI, including 200+ state-of-the-art GPUs.