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Australia Application Deadline 18 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Part-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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of infectious diseases. • Experience with data analysis using statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing
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full aircraft engine, running on the UK’s supercomputing services. There will be both engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency
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engineering aspects to the project (around model validity) and computer science aspects (around parallel efficiency and computational time). You will be working closely with engineers at Rolls-Royce and with
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theoretical, computational and experimental methods and our aim is to provide an environment in which these different approaches can be combined and focused on particular topics of practical importance. You
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turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and the ability to analysis and
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preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials