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A Design Methodology for Embedding Robotics & Automation into Circular Product Development This is an exciting opportunity to undertake industrially linked research in partnership with
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will investigate low-NOₓ and low-N₂O route ammonia utilisation through advanced catalytic material design. In this interdisciplinary research, you will not only benefit from the expertise from University
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training from both the University and Airbus. The successful candidate will gain experience in designing fuel additives, utilising computational, analytical and experimental techniques, potentially
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AI design of ultrathin lenses for compact imaging devices The Faculty of Engineering at the University of Nottingham is seeking an enthusiastic, self-motivated student who enjoys working as part of
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installations. Building on these research and industrial successes, this project aims to design soft robotic systems capable of fast locomotion within aero-engines and operating end effectors for non-destructive
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effectors (https://www.youtube.com/watch?v=A_CTqVFJ7Jc). At the Rolls-Royce UTC, we have a unique capability to design, model, and develop robotic systems tailored for operations in restrictive environments
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training. The goal is to build realistic, culturally sensitive digital avatars that simulate dementia‐care scenarios in care homes. Through co-design with carers, care-home staff, families and community
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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, memory, and energy requirements. The successful candidate will explore novel algorithms and model-design strategies that allow AI systems to operate effectively on edge devices, clinical environments