71 algorithm-development "https:" "Simons Foundation" positions at Newcastle University
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-ecological impact of large-scale housing development. The candidate will have a background in Planning, Landscape, Geography or related discipline, or have relevant work experience. They will have knowledge
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. To effectively plan for water supply resilience, it is essential to robustly model future changes in hydrological systems. This project will develop a robust modelling framework to simulate future changes in water
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PhD Studentship: Development of a robust hydrological modelling framework for drought risk assessments Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a
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development of wide bandgap device-based integrated motor drives, advanced control techniques for next-generation drives, and innovative approaches to reducing passive components in electric drive systems. Your
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(Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI workloads demand high performance processing, large scale data handling, and specialized hardware accelerators
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Integration: This WP develops a Runtime Assurance Layer by deploying lightweight anomaly detection algorithms, such as autoencoders, to flag unsafe AI decisions. It also involves the development of an Ethical
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prestigious £8M EPSRC Programme Grant on Advanced Integrated Motor Drives (AIMD), a major research initiative launched in 2025. You will work on the development of wide bandgap device-based integrated motor
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into smaller, faster, more energy efficient and cost-effective hardware compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems
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compared to the current state-of-the-art. The project will align the in-house algorithm-to-hardware development of the Micro-Systems Research Group at Newcastle University with next-generation Field
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Award Summary This studentship provides a tax-free annual living allowance of £25,726 plus a research training support grant of £20,000 and 100% fees paid. Overview This PhD project aims to develop