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Field
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paramount. Secure and trustworthy AI-electronics focus on embedding security features directly into hardware, such as hardware security primitives and tamper detection mechanisms. This field addresses
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makes extraction considerably more difficult. A promising approach involves lithium electrolysis using advanced solid electrolytes, such as garnet-structured Lithium Lanthanum Zirconium Oxide (LLZO
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. The project focuses on power-aware computing, thermal optimization, and sustainable electronic design, targeting critical applications in aerospace, healthcare, and industrial automation. Hosted by the renowned
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1st class degree in Engineering with strong background in theoretical and computational mechanics of solids/materials. To apply please contact the supervisor, Prof Andrey Jivkov - andrey.jivkov
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focuses on AI-driven fault diagnosis, predictive analytics, and embedded self-healing mechanisms, with applications in aerospace, robotics, smart energy, and industrial automation. Based
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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Computational Fluid Dynamics (CFD) and Conjugate Heat Transfer (CHT) modelling, which captures both the fluid & solid domains, as required to develop this understanding for engine-representative geometries and
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. The integration of AI into hardware not only enhances performance but also reduces energy consumption, addressing the growing demand for sustainable and efficient computing solutions. This PhD project delves
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, isolation, and prognostics. Machine Fault Simulator for Rotating Machinery Faults: A versatile platform that replicates common faults in rotating machinery, such as imbalance and misalignment, facilitating
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– United Kingdom PhD programme: Harper Adams University PhD programme Fixed term until 30 September 2028 Research project description Agricultural robots and Artificial Intelligence (AI) technologies could soon be