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researchers working together to develop better understanding of decision-making processes in the provision of active travel infrastructure. The project will address research questions such as, why are some
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should indicate at interview which mode they wish to pursue (high or low residency), and this will be agreed by the supervisory team according to the successful applicant’s needs. Overseas students
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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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electronics, embedded programming, signal processing, vibration measurement and analysis, maintenance engineering, and electro-mechanical engineering. Funding This is a self-funded PhD. Find out more about fees
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reliability of the identification process. Key Deliverables: Designing empirical eye tracking studies to explore user characteristics, such as deepfake classification expertise and cognitive approach
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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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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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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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. 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