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Sodium-ion batteries are rapidly emerging as a powerful alternative to lithium-ion systems—offering significant advantages in cost, sustainability, and safety. To unlock their full potential
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Modern cyber-physical systems (CPS), such as UAVs, next-generation fighter aircraft, and command-and-control (C2) platforms, integrate digital computation with physical processes to make mission
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The Structural Battery Company, a high-tech manufacturer of EV batteries. Building on Cranfield’s previous APC-funded CERABEV successes using epoxy-based systems with intumescent ceramic phases, this project
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University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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advanced technology and business needs, creating smart monitoring systems, predictive maintenance solutions, and digital twins that solve pressing challenges across healthcare, energy, aviation, and
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of architecture standards and inform training and development of the systems modellers of the future. Candidates: To apply for this opportunity, you must be eligible for UK Security Clearance. Normally this is to
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are promising sustainable alternatives to lithium-ion systems, leveraging abundant, low-cost materials (Na, Fe, Al, biomass-derived carbon). However, a major bottleneck is the instability of the SEI formed during
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems