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Field
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configurations. The software can assimilate large datasets and perform adjoint computations, inverse modeling, and uncertainty quantification. It has enabled breakthrough scientific discoveries and supported
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. Experience applying machine learning to networking problems, for example, reinforcement learning, graph neural networks, or uncertainty quantification. A track record of publications in leading networking
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modeling and simulation • High-performance computing and computational science • AI-accelerated engineering analysis and design • Physics-informed machine learning • Uncertainty quantification and predictive
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• Uncertainty quantification and predictive engineering Micro/Nanoscale Systems and Intelligent Materials • MEMS/NEMS and micro/nanoscale devices • Advanced sensing and actuation • AI-guided materials discovery
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analysis and design • Physics-informed machine learning • Uncertainty quantification and predictive engineering Micro/Nanoscale Systems and Intelligent Materials • MEMS/NEMS and micro/nanoscale devices
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, analyse, and validate innovative numerical algorithms and mathematical frameworks for problems arising in materials, fundamental physics, dynamics, optimisation, control, uncertainty quantification, inverse
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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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: Research and tool development at the intersection of artificial intelligence and scientific computing including physics-informed neural networks and digital twins; uncertainty quantification, high
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-NorthWind webpage for more details): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer
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, multidisciplinary team environment. Preferred Qualifications: Knowledge of uncertainty quantification methods and causal inference for complex environmental systems. Experience with large-scale Earth system