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Field
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Environment: Based at the Biodiscovery Institute at UoN, a multidisciplinary centre with advanced laboratory and imaging facilities Access to a full range of equipment and laboratory facilities. Inclusive and
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engineering. Expertise in numerical tools (Ansys, JMAG, .etc) and programming are desirable. Experience in electrical machine prototype development would be advantageous. Eligibility and Application
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, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
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, including immunocytochemistry, Western blotting, and qPCR, alongside the application of microscopic imaging techniques. Responsibilities also include data collection, analysis, and presentation, as
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas
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significant relevance in today's technological landscape. As industries continue to integrate digital and physical systems, the role of eCPS in enhancing automation, control, and sustainability becomes
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technologies. Finally, you will work with residents to co-design and evaluate potential technology-based solutions. Based within the Centre for Digital Innovations in Health & Social Care, you will join an
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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workforce and digital transformation. Details of Funding The successful applicant will: Be awarded an annual stipend for three years in line with the UKRI doctoral stipend and fee levels (minimum £20,780, per
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increasing relevance today due to its ability to bridge the physical, digital, and social domains. CPSS are integral to the modern world, shaping the development of intelligent systems that respond dynamically