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individually, make a real difference. About the role The Department of Computer Science at the University of Surrey is seeking to recruit a full-time postdoctoral research fellow to work on a range of topics in
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, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
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. In this role, you will be part of the research team, working to develop and evaluate privacy-preserved Generative AI algorithms for generating synthetic Personal Identity Information (PII). This aims
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(SDR) platforms and characterise them in the presence of interference in a variety of spectrum sharing scenarios, seeking opportunities for algorithms which provide enhanced interference resilience
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10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
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This is an exciting opportunity to join a new thrust to develop state of the art very high order computational fluid dynamics frameworks for high performance heterogeneous computing systems, working
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, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
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AI algorithm learning when subjected to cyber attacks in Edge Computing environments. At the Edge AI Hub, you will join an internationally renowned and multi-disciplinary team co-led at Southampton Dr
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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
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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