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for enthusiastic, inquisitive and motivated researchers with a strong interest in aerospace systems engineering to develop innovative solutions and technologies. This is a BAE Systems - EPSRC CASE Award
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solutions that enable industries to meet these dual objectives of ecological responsibility and economic competitiveness. The aim of the project is to develop a robust framework that enables manufacturing
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of water consumption and water pollution. Moreover, only 1% of the materials used in the production process of clothes are recycled back even though around 95% could be recycled. The industry is built
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platforms. Existing digital human models are limited, often focusing only on basic ergonomic analysis and lacking in cognitive behaviour representation. The primary goal of this project is to develop a novel
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is a technically challenging process due to the exponential number of variables that one has to account for, when making carbon footprint assessments for products and processes. The tools, methods
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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transformation. As the amount of data increases, it is necessary to store, standardise, process, and make data accessible in a way that gets beyond the quirks of different teams and technology. This requires
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upgrade water treatment infrastructure and increase its resilience using nanobubble technology as a chemical-free approach. The successful candidate will work closely with the water industry to develop
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An exciting PhD studentship opportunity fully-funded by the Engineering and Physical Sciences Research Council (EPSRC) Doctoral Training Partnership (DTP). This project would suit students with a
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A fully funded PhD studentship in the Centre for Autonomous and Cyber-Physical Systems at Cranfield University. This is a great opportunity to work closely with Thales UK, who are a leading