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part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a
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motion capture data collection involving patients would be advantageous, as would experience with musculoskeletal modelling software. Candidates with experience in clinical practice relating to human
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that align with Net Zero 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
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based on combustion engines, which plays a crucial role for sustainable development and Net Zero. Power electronics converters is a key enabler for vehicle on-board electrical power conversion. Therefore
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discussion regarding the PhD. This is an excellent opportunity for an enthusiastic graduate to build a strong skillset in interdisciplinary research and a collaborative network with both academic and
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of physical conditions (pressure, pulse time, temperature) will be investigated, allowing for the design of efficient shockwaves. Essential multi-physics software tools will be developed. The project is a
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this ecosystem service. The student will map pedestrian networks using GIS and combine this with existing vegetation data. Field surveys will be conducted to validate the spatial data by measuring shade and
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from end-of-life recycled aluminium to reduce embedded carbon level to below 2 tonnes CO2e/tonne of aluminium as a supplied component and eventually to Net Zero carbon. This project is concerned with
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mobility demands motors with higher efficiency, reduced lifecycle impact, and compatibility with evolving drivetrain architectures, there is a clear need for new machine concepts that align with Net Zero
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frames within the multi-storey office market. In the interests of achieving net zero carbon by 2050, there is a need to reduce embodied carbon within buildings. Therefore, the replacement of concrete slabs