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and skills of the successful applicant. Access to high-performance computing facilities and cloud-based quantum hardware will be provided to support simulation and verification of theoretical methods
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. Concurrently, you will develop lower order analytical models and perform high fidelity computational simulations to corroborate experimental findings and propose other configurations to be subsequently
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on high performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve
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environmental impacts of digital activities. You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure
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testing and related workflows alongside a familiarity with command-line environments, high-performance computing (HPC) environments and pipeline execution on compute clusters (e.g., SLURM) are essential. A
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integration and statistical modelling Teaching and mentorship experience Excellent interpersonal and communication skills across wet-lab, computational and facility teams Familiarity with high performance
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and Propulsion MSc course. The activities within the Centre encompass a very wide range of topics including gas turbine performance modelling, propulsion aerodynamics, icing, combustion, computational
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driven Postdoctoral Researcher to join the groundbreaking AI-Design Lab (AiDLab) – a major collaboration between the RCA and The Hong Kong Polytechnic University (HKPU), funded by the InnoHK programme