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Experience in developing software to a high standard using a range of computer languages and tools, ideally for applications involving the modelling, simulation and analysis of the large, complex and dynamic
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that can use explanation as a core mechanism for learning and reasoning in natural language. To this end, he investigates the integration of neural and symbolic AI methods to enhance the robustness and
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interpretable machine learning (IML) and nonlinear system identification approaches. In doing so, we will build transparent, interpretable, parsimonious and simulatable (TIPS) models to help identify the causes
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of the art 20,000m² Diamond Building, you’ll be inspired by what we can offer our Engineering students. We have world leading facilities in teaching and learning, with 15 specialist laboratories designed
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device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
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photonic quantum computers with cloud access. QuiX Quantum is building Europe’s first universal photonic quantum computer using silicon nitride photonic chips for scalable operation. In the US, PsiQuantum is
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computer-based models of manufacturing process, allowing for analysis, optimisation and visualisation of operations before physical implementation. It is a sought after skill in many high-value manufacturing
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that can use explanation as a core mechanism for learning and reasoning in natural language. To this end, he investigates the integration of neural and symbolic AI methods to enhance the robustness and
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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PhD: Systematic Exploration of Robot Behaviours for Manufacturing Tasks to Automatically Discover Failure Scenarios EPSRC Centre for Doctoral Training in Machining, Assembly, and Digital Engineering