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Australian National University | Canberra, Australian Capital Territory | Australia | about 14 hours ago
topology, nonlinear partial differential equations, harmonic analysis, geometric analysis, mathematical data science, computational mathematics, bioinformation science, fusion plasma theory and modelling
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assistants, and large language models. Areas of interest for possible collaborations include but are not limited to: topological data analysis and topological machine learning; AI-assisted theorem proving
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leveraging the power of modern computer facilities needed for dynamic nonlinear analysis of large-scale structures. Modern digital technologies for geometric modelling will be seamlessly integrated with
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of the Higgs and electroweak sectors to flavor and top-quark physics, as well as searches for phenomena beyond the Standard Model. Fully exploiting the unprecedented capabilities of FCC-ee will require a new
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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of thermal effects on force generation, material properties, and geometric clearances. Validate numerical models against experimental results and data available in the scientific literature. Disseminate
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations
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disturbances. Current control methods generally rely on simplified interaction models based on constant aerodynamic coefficients, quasi-static approximations, potential flow models, or experimentally identified
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Skills/Qualifications Technical Skills: Advanced programming in Python, PyTorch, PyTorch Geometric or DGL. Version control (git), Linux and model training on GPU (reproducible experiments). Other
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surface modelling; understanding of engineering drawing and design documentation practices; knowledge of dimensional chains, tolerances, fits, and geometrical tolerancing; ability to read and analyse