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flooding events and recreation in freshwater. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security
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Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a Health Protection Unit in Public Health Genomics between the University of Birmingham and UKHSA. In
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, workshops and annual conferences. Finally, students will be required to sign an agreement with any industrial sponsor supporting their project. Such agreement may provide that the industrial sponsor secures
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. Your Role: As our PhD student, you’ll be at the forefront of developing smarter solutions, working in partnership with UK Health Security Agency (UKHSA). You'll use anthropogenic approaches and cutting
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
that not only simulate, but also reason, adapt, and provide explainable insights across safety-critical environments. Key research objectives include: Extract structured engineering knowledge from
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change and health together. The Centre is partnered with the UK Health Security Agency (UKHSA), the National Trust, Forest Research, and the Met Office amongst others, and the successful applicant will
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failure due to high-cycle fatigue, reducing the efficiency and safety of the gas-turbine engines. The development of robust damper devices that reduce the vibration levels is of paramount importance
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, autonomous systems, and secure intelligent hardware. Through collaborations with the Aerospace Integration Research Centre (AIRC), Airbus, and Rolls-Royce, students gain industry exposure and further research
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Experience working with peer-researchers/co-facilitators Desirable criteria Understanding of data confidentiality and data security Experience working across policy, public health, voluntary sectors, or with
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
complex engineering data and deliver insights that are robust, adaptable, and applicable across complex, high-value, safety-critical domains. This research will contribute to shaping the next generation of