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Programme? Not funded by a EU programme Reference Number 5286 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences
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of the complex physics governing the interaction between the heat source and the material. Additionally, it seeks to develop an efficient modelling approach to accurately predict and control the temperature field
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predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence (AI) models present a promising alternative by addressing
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also reducing the membrane lifetime. Cranfield are therefore working on a new generation of inorganic 2D materials to produce a chemically and physically robust reverse osmosis membrane technology