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that the electrolysers operate safely and reliably while fulfilling the intended specifications. The knowledge gained from the experiments will be used to determine the appropriate risk and reliability analysis
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, standardisation processes, and risk management. These proficiencies open pathways to leadership roles in AI engineering for regulated industries, including aerospace certification, automotive compliance, and
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legislation. This is hindering their development and delaying their introduction into the market. The engineering process for ensuring compliance with functional safety requirements involves thorough risk
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Overview: This exciting PhD opportunity is at the intersection of aerospace engineering and cutting-edge technology. It focuses on developing an innovative ground-based robotic inspection system
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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, reliability, and environmental resilience. The proliferation of intelligent systems has led to increased energy consumption, raising concerns about sustainability and operational costs. Energy-efficient
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, resilience, and/or reliability assessment and their application to power and energy systems The ability to present complex information effectively to a range of audiences with clarity Experience of working as
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opportunity in composites materials for space application research in the Composites and Advanced Materials Centre and the Centre for Defence Engineering at Cranfield university. The focus of this PhD will be
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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