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. The PhD position will be based within the Department of Materials, Department of Chemical Engineering and University of Manchester-Harwell campus. This will facilitate research activities with the national
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to study corrosion, cracking and mechanical degradation, develop advanced computational models using modern C++ and high-performance computing to simulate material behaviour over a 100+ year timespan. This
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and controlling defects and lay the foundation for a thermal physics-based approach to process qualification. Additive manufacturing (AM) is a rapidly evolving technology that continues to drive
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the need for sustainability to achieve Net-Zero goals. Cyber-Physical Systems (CPS) integrate machines, robots, and AGVs, but challenges like mechanical wear and electronic errors pose risks to efficiency
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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obtaining) a PhD in Chemistry, Materials Science, Engineering, Physics or relevant technical discipline. To perform the role, the applicants will additionally need to have excellent presentation, technical
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overseas partners for collaborative projects on sustainable energy and bioelectronics. Interdisciplinary Skills Development: Bridge expertise in materials science, mechanical/chemical engineering, and
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PhD Studentship: Towards Sustainable Powertrains: Enabling High Motor Performance without Rare Earth Materials and Energy intensive Manufacturing Processes The University of Nottingham This project
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computer science or mechanical engineering. The candidate will have programming experience, particularly on the development of machine learning pipelines. The University actively supports equality, diversity and
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models