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scalable surface engineering methods and state-of-the-art permeation analysis techniques, the project will optimize coatings for alloys such as steel, aluminium, titanium, and nickel. The project will use a
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Cranfield’s Advanced Vehicle Engineering Centre is inviting applications to study for a PhD in battery modelling and management for electric vehicles. Several projects are on offer, covering
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sustainable aerospace technologies. Hydrogen-powered flight is set to revolutionise aviation, offering a sustainable path toward achieving Net Zero by 2050. The key enabling technology for a hydrogen fuelled
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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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Cranfield Research Showcase - Join us on campus on Thursday 27 March 6-8pm. Get a fast-paced glimpse into the brilliant work of our doctoral students at the Three-Minute-Thesis (3MT) Competition. Watch as they present their groundbreaking research in just 3 minutes - quick, engaging and full of...
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, ultimately optimising the deposition process. Additive manufacturing (AM) is a rapidly advancing technology, driving numerous innovations and finding diverse applications across industries such as aerospace
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; gender diversity in Science, Technology, Engineering and Mathematics (STEM) through our Athena SWAN Bronze award and action plan, we are members of the Women’s Engineering Society (WES) and Working
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based