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Field
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-service involvement, develop typologies of need, and uncover spatial and temporal trends. Combining data science techniques with stakeholder engagement, the project aims to generate actionable insights
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targets without compromising torque-speed performance. Aim This PhD project aims to develop a new generation of electric machines optimised for sustainability across the full lifecycle from material
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include: Developing an evidence-based framework for peer support as a psychosocial intervention for AA. Designing and implementing peer support tailored to diverse needs. Addressing the specific needs
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of this PhD is to use optical flow visualisation and measurement techniques to study droplet impact under icing conditions to improve icing codes that aid in design and development of ice detection and
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, combustion, and process optimisation. The project is focussed on the development of novel interface capturing Computational Fluid Dynamics methods for simulating boiling in Nuclear Thermal Hydraulics
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designing and developing experimental equipment suitable for containing the liquids at the temperatures needed, as well as optimizing the quality of the data obtained, both through experiment design and
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environmentally inadequate. This PhD research seeks to redress this imbalance by developing scientific strategies for the regeneration, selective disassembly, and material recovery of both mono-material and blended
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project will develop a rigorous theoretical framework to ensure both coordinated behaviour and safety in interconnected dynamical systems. You will design and analyse a two-layer control architecture
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career development as part of your doctoral training Access to a vibrant research environment with regular workshops, training, and opportunities for collaboration Dedicated workspace and facilities within
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labs framework. This studentship will include cohort-based training and activities, enabling students to gain wider skills and develop valuable personal and professional networks. Project Description