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staff working within the Mechanics, Materials and Design Group, as listed here. The precise topic of the PhD and the Supervisor can be agreed after the Scholarship is awarded. To apply
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, to support the experimental activity. The candidate will be joining a multidisciplinary team in a lab where we design, make and validate materials and structures. This PhD will expose the successful candidate
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to unlock new functionalities. In latter phases of the project, the refined technique will be applied to characterise both commercial and custom-designed membranes, generating fundamental insights that will
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opportunity to contribute to the development of next-generation construction materials that are both low-carbon and climate-resilient. The research will focus on designing and testing functional materials
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computational methodologies/AI that advance our ability to design reliable engineered biosystems (if the candidate has strong math/computer science background), or building new robotic measurement and control
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, damp, ventilations). We will use these simulations to propose real-life measures to improve living and working conditions. Such measures might be recommendations on how to design or retrofit indoor
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change accelerate, we urgently need smart, evidence-based tools to plan, manage, and protect our marine ecosystems. At the forefront of this innovation is machine learning. Its ability to process complex
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diverse expertise and collaborative partnerships to foster innovative and socially engaged doctoral research. The award supports new and emerging themes across art and humanities, architecture, design, and
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(CHF) phenomena – the prediction of which is key to safely designing and operating water based nuclear reactors. Current industrial modelling tools necessitate excessively conservative safety margins
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants