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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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for all. This PhD project aims to develop, physics-informed surrogate models to support the design and optimisation of deep geothermal energy systems under subsurface uncertainty. Focusing initially
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Understanding the Complexities of Transport System Responses to Disruptive Events Award Summary 100% fees covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Only
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twins, enabling real-time stress-testing under simulated edge cases like cyber-physical attacks and sensor failures. The Research Challenges There exists a complex interplay of factors that present
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Resilience of Cyber-Physical Transport Systems Award Summary 100% fees covered and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate) (Only available for UK students
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routes, methanol fuel tankers are already in action, with multiple international fleets of methanol fuelled vessels. Over 99% of methanol is produced from steam methane reformation of natural gas, which is
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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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and enhance nonlinear optical responses for advanced photonic functionalities. This project is multifaceted and presents the opportunity to investigate semiconductors, composites, waveguides and
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. Overview This PhD project is part of the EPSRC Centre for Doctoral Training in Process Industries: Net Zero (PINZ) . The PINZ CDT will train the next generation of process and chemical engineers, and
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-critical functionality, including supporting life-sustaining functions, automated monitoring, and clinical decision-making. Such systems must meet strict regulatory requirements (e.g., IEC 62304 [1] and