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computations possible [1]. However, proven scientific applications for quantum computing remain mostly limited to quantum chemistry, materials, and particle physics. Since CFD is one of the most demanding use
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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project, to train students, to interact with colleagues with different backgrounds (physics, engineering, chemistry) and from different disciplines (i.e., spectroscopy, electromagnetism, material science
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to train tomorrow’s leaders in earth and environmental science. For further details about the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises
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to how well they meet the following criteria: A first class (or strong 2:1) degree in any of Engineering, Materials Science, Computer Science, Physics, Biology/Biotechnology, Chemistry/Biochemistry
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This is an exciting opportunity to undertake industrially linked research with the Laser Processing Group at the Manufacturing Technology Centre (MTC) and the Advanced Materials Research Group
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successful candidate will join the PhD programme of the Department of Mathematics at the University of Manchester. This 42-month PhD position (funded by the University of Manchester) is a full scholarship
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(i.e. LCD TVs). Augmented (AR) and Virtual Reality (VR) technologies are the next logical step in display device technology; however, they require novel solutions in engineering and physics to overcome
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controls (inhomogeneous materials/geometries). Validate on synthetic and real experiments; publish open benchmarks and papers. Why this is exciting Work at the frontier of AI for science (foundation models
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embrittlement, leakage, and long-term material degradation raise critical reliability concerns for flight certification. Structural Health Monitoring (SHM) and Digital Twinning (DT) technologies can address the