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per year for 3.5 years. Lead Supervisor’s full name & email address Dr Massimiliano Fasi: m.fasi@leeds.ac.uk Project summary The growing importance of artificial intelligence is fostering a paradigm
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. Funding is due to start from 1st October. FFA (Film Forming Amines) have been used for decades as corrosion inhibitors in water/steam circuits. More recently, they have also raised the interest of nuclear
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This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
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electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD tools, integrated circuit prototyping
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industries, including transportation, consumer electronics, and industrial automation. This PhD project focuses on the design and optimization of intelligent systems with an emphasis on energy efficiency and
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a suitable candidate is found. Inexpensive and flexible integrated circuits composed of environmentally friendly materials, like metal oxides, are poised to revolutionize emerging semiconductor
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research group specializing in secure electronic design, AI-driven system resilience, and intelligent hardware security. Through the EUROPRACTICE partnership, the IVHM Centre provides access to advanced CAD
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(or expect to obtain) a First Class or high 2:1 degree, or a Master’s degree, in Physics, Materials Science, or Electrical & Electronic Engineering. A solid understanding of semiconductor physics is a
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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Background: Fusion energy promises a step-change in clean power generation, and one of the most critical challenges on the path to commercial fusion is tritium fuel sustainability. To maintain a