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A PhD opportunity at the EPSRC Centre for Doctoral Training in Quantum Information Science and Technologies at the University of Sussex School of Mathematical & Physical Sciences The University
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). Related projects include: UK Hub for Quantum-Enabled Position, Navigation and Timing (QEPNT) –Glasgow led. EPSRC Programme Grant– Chip-Scale Atomic Systems for a Quantum Navigator. STFC-NSERC UK-Canada
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clearance level. The Engineering Doctorate Researcher will follow the EngD in Model-Based Systems Engineering Programme. They will be based at NPL. Entry requirements: A minimum of an upper-class honours
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Background The rise of quantum computers could break many existing encryption methods, making post-quantum cryptography (PQC) vital for future security. Digital signatures, which act like electronic
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attention since they can be realised in experiments with driven-dissipative open quantum systems and since they may be useful in future technology. In the proposed project, the PhD student will theoretically
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quantum technologies. Applicants should have completed (or closer to completion) their undergraduate degree in Physics, Material Science, Physical Chemistry or related Physical Sciences (preferably with
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quantum chemistry (QM), machine learning (ML), and high-throughput experimentation (HTE). The objective is to develop a data-driven framework that enhances the efficiency and effectiveness of catalyst
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock