45 computer-programmer-"https:"-"FEMTO-ST"-"U" "https:" "https:" "https:" "https:" "https:" "Dr" "P" PhD positions at University of Nottingham
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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of Nottingham, but should expect to engage fully with the 3-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be
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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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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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individual with a 1st or a 2:1 degree from Mechanical, Manufacturing, Mechatronics Engineering, Computer Science or other relevant field. The candidate should have excellent analytical and communications
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state-of-the-art equipment, including both commercial tools and bespoke in-house apparatus, in collaboration with Dr Adam Dundas and Dr Parimala Shivaprasad. As a key member of our teams, you will play a
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for clean energy technologies and develop the expertise that top employers and research institutes are seeking. The project is supervised by a strong interdisciplinary team: Dr Zakhar Kudrynskyi (advanced
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the expertise that top employers and research institutes are seeking. The project is supervised by a strong interdisciplinary team: Dr Zakhar Kudrynskyi (advanced materials characterisation), Prof. Martin