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Field
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materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered depending on the bachelor's/master's
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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
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technology policies and AI-powered threats fundamentally reshape alliance structures and power dynamics. The second track analyses the geoeconomics of AI through a non-zero-sum lens, revealing how resource
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expertise in the design and evaluation of imaging solutions and will have an opportunity to work with scientists and engineers at Cefas. They will undertake training specific to this project including imaging
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addressing the behaviour of thin foil materials for aerospace forming applications. The successful candidate will have a first-class or upper second-class honours degree in mechanical engineering or a related
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. The Centre sits within the Department of Mechanical, Aerospace and Civil Engineering at UoM and performs advanced modelling and technical innovations in the field of laser-based advanced manufacturing
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education. The Athena SWAN Charter recognises commitment to advancing gender equality in Science, Technology, Engineering, Maths and Medicine (STEMM) employment in academia. https://www.gla.ac.uk/schools
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should be submitted via the Engineering Materials PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name
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, economic viability, and robustness to realistic operational uncertainty. PhD (or equivalent) in control engineering or closely related discipline. Track record in at least two areas: model predictive control