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both academia and industry. Some of the valuable skills are in system design, AI-integration, cyber-physical systems, and sustainability. At a glance Application deadline27 Nov 2024 Award type(s)PhD
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Applications are invited for doctoral level research into sustainable manufacturing operations and management. More specifically, the candidate will undertake research activities into eco-design
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wholly postgraduate institution and is famous for its applied research in close collaboration with Industry. At Cranfield, the candidate will be based within the Manufacturing theme at the Centre
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CFD-FEA Combined Thermal-Fluid-Mechanical Modelling for Defect Control in Additive Manufacturing PhD
the highest standards of quality assurance for directed energy deposition additive manufacturing. Additive manufacturing (AM) stands at the forefront of a rapidly evolving technological landscape, driving
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technologies and management practices that promise combined benefits. The goal is to provide actionable insights that can lead manufacturing organizations towards a more sustainable and economically viable
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Within clothes manufacturing, the transition to circularity requires changing business practices and the ability to understand and reconfigure business models, operating systems, supply chains, and
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The application of emerging technologies such as artificial intelligence, digital twin, blockchain, and the internet of things are growing fast, and their integration with complex manufacturing
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and manufacturing methods, optimisation of size, weight, power and cost while meeting operational, performance, safety and reliability as well as validation and verification requirements where possible
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Industry 5.0 goals. Expect impactful insights into advanced technology integration and human expertise, driving sustainability through improved system performance. Students benefit from collaboration
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and Manufacturing at Cranfield University sponsored by EPSRC and a UK defence prime. Human-machine teaming has become a critical topic with advancements in AI and autonomous systems, yet challenges