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machine learning, numerical modeling, or both, and who want to develop innovative methods while advancing our understanding of the Universe. Main responsibilities The position involves research
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few. In this context, several numerical techniques have been proposed to track the continuous evolution of the binary fluids from an initially immiscible state to the miscible state[1] ,[2] ,[3
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. Interpret and publish these results. - Test the tools developed on different data sets. - Test the technical and user documentation. - Monitor technological developments in the methods developed and the
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, remoulding, and pore-pressure variation. This project will develop a new computational model to simulate seabed–mooring interaction at the particle scale. It will combine the Discrete Element Method (DEM
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well as familiarity with machine learning workflows, natural language processing (NLP), and text-as-data methods. We are especially interested in applicants who demonstrate a strong substantive interest in using
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, mathematical modeling of wound healing and mathematical modeling of cancer. There is also an opportunity to develop and apply analytical and numerical methods for studying dynamical systems. The ideal candidate
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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numerical methods with optimal convergence rates should align with the expected solution regularity. Such an approach will allow us to distinguish between numerical methods that are purely heuristic from
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and step at appointment. See the following table for the current salary scale(s) for this position: (https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t24