Research Fellow in Generative Audio AI

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The Role

Applications are invited for a Research Fellow (RF) position within the Centre for Vision Speech and Signal Processing (CVSSP) and the Surrey Institute for People-Centred AI, at the University of Surrey, UK, to work in the area of generative AI for audio generation.

This post funded by the AI Hub in Generative Models (www.genai.ac.uk). The Gen AI Hub brings together experts in Generative AI, from industry and academia, to make Generative AI models more customisable, reliable and trustworthy, and to help to realise the benefits of these technologies for society, science and the economy.

The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including audio generation for environmental sounds, using approaches such as diffusion models and/or flow matching.

About you

The post holder is expected to have a PhD degree (or equivalent) in electronic engineering, computer science, applied mathematics, statistics, artificial intelligence, audio engineering, or a related subject; and research experience in research experience in audio signal processing, audio-related multimodal processing (audio with text and/or video), audio deep learning, or a related topic. The post holder would have experience in developing new research algorithms or methods, using languages such as Python, C++ and/or MATLAB, with relevant signal processing, machine learning and/or deep learning tools.

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 200 GPUs and >2PB of high-speed secure storage.

The Surrey Institute for People-Centred AI is the founding pan-university institute at the University of Surrey, bringing together core AI-related expertise in audio-visual and signal processing, computer science, and mathematics, with its domain expertise across engineering and physical sciences, human and animal health, law and regulation, business, finance and the arts and social sciences. Our multi-disciplinary approach puts people at the heart of AI.

How to Apply

To apply for this role, please upload a CV and cover letter with your application on the University of Surrey Website.

For informal inquiries, please contact Prof Mark Plumbley at m.plumbley@surrey.ac.uk.

Interviews are scheduled for 28th May'25. 

Please note the university reserves the right to close this vacancy early based on volume and calibre of applications.

Further details

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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