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                the Aalto Engineering Psychology Group Your role and goals We are searching for a full-time Doctoral Researcher working on interactive Artificial Intelligence (AI). The research will focus on user 
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                PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo 
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                Feuer International Scholarship in Artificial Intelligence Warwick Manufacturing Group The Feuer International Scholarships in Artificial Intelligence are prestigious and highly competitive PhD 
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                PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience 
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                projects in the Centre for AI and Robotics Research. Funded PhD projects Adaptive Systems Research Group Artificial Intelligence in Games Continual and Open-ended Reinforcement Learning Information and the 
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                ). The project selection covers the range of the EPSRC themes which include topics such as Energy and Decarbonisation, Artificial Intelligence and Robotics, Healthcare Technologies, and many more topics within 
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                accelerators originally designed for artificial intelligence. These accelerators achieve exceptional performance by using low precision arithmetic, which is sufficient for machine learning tasks but much too 
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                AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhDmechanics, and artificial intelligence (AI)—specifically in the domains of non-destructive evaluation (NDE), computer vision, and machine learning. It addresses a critical challenge in the structural health 
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                "intrinsically-aligned" artificial intelligence, where accuracy, fairness and explainability are all taken into account when selecting the "best" AI model. Requirements: The essential selection criteria include 
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                Mission-Inspired priorities of Engineering Net Zero and Artificial Intelligence. This vision also reflects RCA’s institutional research priorities: Climate Crisis and the Circular Economy, and Design & AI