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the guidance of artificial intelligence techniques. The project will develop novel design processes that embed material behaviour within agent-based and machine learning computational design systems
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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thermalization in graphene metamaterials. The Research Fellow will work closely with a team of researchers to design and simulate graphene metamaterials for strong light-matter interactions in the mid-infrared
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experience in at least one of the following would be highly regarded: (i) the theory and simulation of scattering, diffraction and imaging with high energy electrons or X-rays; (ii) solving inverse scattering
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Theme 1: Climate Processes and Change. This position is funded by the National Collaborative Research Infrastructure Strategy through the Australian Community Climate and Earth System Simulator National