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EPSRC ReNU+ CDT PhD Studentship: Physics-informed machine learning for deep geothermal systems under uncertainty. Award Summary 100% fees covered, and a minimum tax-free annual living allowance
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PhD studentship in Computer Science - Dynamic Validation of AI Systems in Digital Twins: A Real-Time Safety Framework for Critical Infrastructure Resilience Award Summary 100% fees covered, and a
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural
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challenges. Number Of Awards 1 Start Date 21st September 2026 Award Duration 3.5 years Application Closing Date 20th May 2026 Sponsor This studentship is hosted by the School of Mathematics, Statistics and
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PhD project (e.g., mathematics/statistics, engineering, quantitative ecology/biology). A Masters qualification in a relevant subject area will be advantageous. This studentship is only available
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a difficult sector to decarbonise, as electrical power is challenging for many forms of shipping. Hence, sustainable marine fuels are required. Methanol fuel tankers are already in operation, with
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allowance of £21,805 (2026/27 UKRI rate). An additional allowance will be provided to contribute towards consumables, equipment, and travel related to the project. Overview ReNU+ is a unique and ambitious
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diagnostic innovation. This PhD is a great opportunity for anyone interested in applied research, molecular biology, plant science, and working closely with a large UK life science company. You will be