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modelling, including two-phase flow in fractures, stochastic permeability analysis, and upscaling to fracture networks. Deploy large scale simulations using high-performance computing (HPC) and collaborate
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. Apply and upscale models to industry-relevant scenarios, deploying simulations on high-performance computing (HPC) infrastructure and integrating outcomes into commercial workflows. Collaborate and
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for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is desirable. Please
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scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction and/or machine learning methods is
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record of computer programming. Experience in numerical relativity and/or numerical simulation of quantum field-detector interaction Strong written and oral communication skills. Demonstrated ability
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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have a PhD in Computer Science (or be able to demonstrate equivalent research experience in modelling and simulation, software engineering research) and possess a deep and demonstrable knowledge
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer
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research to generate research outputs of high standard Development, fitting, simulation and parameter recovery of computational models Communicate research findings through scientific publication in peer