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Computing (Hardware for Artificial Intelligence) Reference Number: IV-151/25 Are you excited about designing hardware that mimics biological intelligence with the aim to explore and understand how the brain
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industry have started exploring alternative materials, devices, and circuit architectures, particularly in the rapidly expanding field of AI hardware. Atomically thin two-dimensional transition metal
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hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
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-Royce, Thales, and UKRI—offering global relevance in low-power AI hardware, embedded intelligence, and adaptive electronics. The rapid advancement of Artificial Intelligence (AI) has necessitated
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shift in the world of hardware design. On the one hand, the increasing complexity of deep-learning models demands computers faster and more powerful than ever before. On the other hand, the numerical
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and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt generation high poWer fuel cells
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approximately 2500m2 of research space and a construction and testing capability up to 5MW Vision This project aims to leverage the electric propulsion hardware developed in the EU-funded €40M NEWBORN – “NExt
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. When will
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., barrier certificates) is advantageous. You will collaborate with experts in control theory and have opportunities to test theoretical insights in simulation and hardware environments. To apply please
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expands rapidly with new software, hardware, and AI-integrated vulnerabilities, introducing novel attack vectors. For instance, an untrusted OS attacking protected software (Software-on-software attack