9 decision-making-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Cranfield University
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spatiotemporal distributions of thermal variables, suffer from limited predictive accuracy and prohibitively long computational times, making them unsuitable for real-time process control. Artificial intelligence
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opportunities to work with WAMC’s industrial partners, such as WAAM3D ( https://waam3d.com/ ) and members of WAAMMat ( https://waammat.com/ ), gaining valuable industry experience and exposure. The
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with me if this is an area of research that you want to work on. Social sciences, complexity science, socio-technical transitions. The aim of this project is to design and develop a decision-making tool
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diagnosis and prognosis technologies, and, consequently, improve maintenance decision making. Currently, machine learning exists as the most promising technologies of big data analytics in industrial
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decision-making. This project sits at the intersection of offshore engineering, digital engineering, sustainability and artificial intelligence. The PhD will develop next-generation digital twin
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circular resource recovery. Negative emissions technologies. Techno-economic, life cycle, and process modelling for decision support. CFD including of complex multiphase flow. Simulation of wind
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materials exhibit unique mechanical, thermal, and acoustic properties not found in nature, making them ideal for next-generation hydrogen storage technologies. Hydrogen is widely recognized as a key
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technology integration expertise. The project will deliver a validated, engineering-led decision-support framework that integrates thermodynamic modelling, environmental sensing and mycotoxin risk
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efficient transport. By integrating artificial intelligence (AI), multi-sensor fusion, and cognitive systems, the research will pioneer robust navigation architectures. These improvements are key to making