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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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, optical, surface, and especially electrical characterisation techniques will be employed along with analogue circuit design. The successful candidate will gain extensive experimental training, develop a
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of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
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hardware landscape, this PhD project can explore one or more of several directions. The exact design of commercial hardware is a jealously guarded secret, and the numerical behaviour of a specific device has
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assurance, this PhD focuses on designing verifiable and certifiable AI-embedded systems for safety-critical applications. You’ll collaborate closely with industrial and regulatory partners in aerospace
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materials such as semiconductor nanowires, graphene, or two-dimensional semiconductors. They will have experience with designing, fabricating and characterising arrays of devices such as integrated circuits
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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