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and advanced signal processing to detect cyber threats in real-time while minimizing energy consumption. Digital twins, as virtual replicas of physical systems, enable continuous monitoring and anomaly
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A position is available in the Department of Engineering at the University of Cambridge for a Research Assistant/Associate to develop cutting-edge digital technologies for infrastructure. The post
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A position is available in the Department of Engineering at the University of Cambridge for a Research Assistant/Associate to develop cutting-edge digital technologies for infrastructure. The post
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assistant system using multimodal AI methods to process vision, language, and audio signals with an application to human- robot interactions to understand and respond to human actions. The successful
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be used effectively as a performance digital twin to generate high-quality engine performance models and produce required training data for the proposed project. This could be a good starting point for
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for candidates with exceptional skills and grades in engineering or physics and/or computer science and/or signal processing, with the strong and proven knowledge of machine learning and/or some expertise in
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of technical provision, has full-time fees of £10,250 (Home) and £30,450 (Overseas). Candidates should indicate at interview which mode they wish to pursue (high or low residency), and this will be
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the topic matter is quite broad, several researchers with different expertise’s are planned to work on the project. Please report any experience you have digital signal processing, building audio
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. Simulations are suitable to characterise processes in healthy and diseased individuals including stroke patients. Machine learning methods might be considered to accelerate simulations. The project provides a
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period