29 quantum-physics-"https:"-"https:"-"https:"-"Institute-for-Advanced-Study" positions at The University of Manchester
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2026. We recommend that you apply early as the advert may be removed before the deadline. The modelling of laser-material interactions is a complex multi-physics problem, very computationally intensive
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Research theme: Analytical Chemistry, Laser Physics, Materials Characterisation How to apply: uom.link/pgr-apply-2425 This 3.5-year PhD studentship is open to Home (UK) applicants and EU students
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) characterisation methods, e.g. crystallography, NMR, IR, Raman, UV/Vis/NIR, and EPR spectroscopies, magnetometry, and quantum chemical calculations; (iii) reactivity studies supported by analytical characterisation
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-value metal production. However, its broader industrial adoption is limited by complex process dynamics, limited process understanding, and the lack of reliable control strategies. The PhD will advance
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interplay between material properties, process parameters, and the final tablet’s quality. The ultimate goal is to establish a predictive modelling framework that reduces the need for physical trials
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, heat removal, and temperature feedback. This PhD will develop and validate an integrated, computationally efficient modelling workflow for monolithic HPCR systems, coupling deterministic reactor physics
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, imaging and diagnostic). However, there is currently no generic, metrology-grounded AI/ML framework that fuses these heterogeneous data with physics-based models to create trustworthy, asset-specific
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density, stability, and performance. Virtual prototyping will enable the design and testing of efficient, sustainable packaging strategies without the cost and waste of physical trials. With applications in
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remains largely unexplored. Leaving this physical mechanism unresolved prevents an accurate assessment of the loading and therefore fatigue and design requirements, precluding a complete and assessment of
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generate high-quality experimental datasets, establish process-structure-property relationships, and demonstrate ML-guided optimisation of aerogel electrodes. The outcomes are expected to effectively