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. Focusing on adaptive intelligence, which blends human creativity and machine intelligence, the project will develop Multi-Intelligence Agents (MIAs) to facilitate the seamless integration of social factors
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project, in collaboration with Darvick Ltd. , and mainly based at their headquarters near Birmingham. Will develop a novel, standardised hydrogen embrittlement and permeation testing method to accelerate
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studentship will work with conservation charities and citizen scientists to develop and validate innovative origami-paper eDNA sensors for the rapid detection of chemical and microbial contaminants in river
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for sustainable waste management and resource efficiency in free-market economies. The primary aim of this project is to develop a sophisticated ensemble prediction model specifically tailored to address
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-disciplinary approach that integrates design, technology and management expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. This PhD project will tackle that challenge by developing intelligent methods that combine AI techniques such as language models that interpret technical text and knowledge graphs that map engineering
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This self-funded PhD opportunity is open to both UK and international students with a strong background or willingness to develop expertise in offshore engineering, human factors, digital twin
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This self-funded PhD research project aims to develop smart sensors based on low-frequency resonance accelerometers for condition monitoring of ultra-speed bearings. The developed smart sensors will
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project will develop novel methods for modelling and controlling large gossamer satellites (LGSs), so that they can be reliably utilised in space-based solar power (SBSP) applications. The candidate will
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) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the