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We are seeking a full-time PDRA to join the Solid Mechanics and Materials Engineering group at the Department of Engineering Science (central Oxford). The post is funded by (UKAEA and the Royal
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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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), within the Solid Mechanics and Materials Engineering Group. The post is funded by the SCGC Fund for Innovation and Research in Sustainability and Technology (SCGC-FIRST) and is fixed-term for 12 months
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should possess a PhD in a relevant field (e.g. Engineering, Physics, Chemistry, Materials Science) or be close to completion prior to taking up the appointment. Previous experience with AI modelling is
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(PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in battery materials synthesis and device fabrication, advanced
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Engineering, Physics or Materials Science and skills in crystallography (including advanced skills in solving crystal structures) as well as the ability to take responsibility for research planning and
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where possible, part-time arrangements may be considered. About You With a background in materials science, physics, engineering, computer science, or a closely related discipline, you will be self
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research project lead by Oxford Materials (Professors Robert House (PI), Saiful Islam, Peter Bruce), with UCL Chemical Engineering (Dr Rhod Jervis) and 4 industrial partners that brings together expertise in
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to enable effective reuse, repair and remanufacture of EEE. About you You should possess a relevant PhD/DPhil (e.g. in Engineering, Product Design) and have knowledge of relevant sustainability assessment
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experience: Essential criteria 1. A PhD in Chemistry, Physics, Materials Science, or a related discipline. 2. Evidence of the ability to contribute to writing and publishing research papers in peer