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Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing
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background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated
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that intersects with emerging fields such as digital tribology, machine learning for predictive wear modelling, sustainable materials, or tribological challenges in clean energy systems and advanced manufacturing
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, materials degradation, or lubrication science. Research that intersects with emerging fields such as digital tribology, machine learning for predictive wear modelling, sustainable materials, or tribological
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history of innovation in what we teach our students – and what they teach us. We have a strong interdisciplinary tradition, reflected in investments such as UKRI Centres for Doctoral Training innovating
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the next generation of engineers and scientists. We have a long history of innovation in what we teach our students – and what they teach us. We have a strong interdisciplinary tradition, reflected in
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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testing) Design mechanical parts (using SolidWorks or similar), produce via 3D printing or machining Build calibration rigs and other supporting lab setups as needed Test the devices in the lab. Deploy
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in machine learning and prediction/decision modelling, as applied to clinical, cognitive and/or physiological data, as well as with prior experience in participant recruitment and/or experimental
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mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead node), Imperial College London, Queen Mary University of London, Durham University, and the University