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methods for Bayesian inference, inverse problems, uncertainty quantification, and scientific machine learning, with applications in environmental, scientific, and industrial imaging. The role/Te mahi
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and inverse problems under the supervision of Professor Maarten de Hoop. Candidates must have obtained a PhD preceding the start date of appointment in Mathematics, Applied Mathematics, Computer Science
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, inverse problems and data science with emphasis on analysis, optimization, numerics and algorithmic solution • Collaboration in interdisciplinary cooperation projects and third-party funded projects
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acquiring full-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows
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automated finite element and inverse-identification workflows that learn constitutive parameters from a single informative test through Bayesian optimization, together with quantification of measurement
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and selectivity, shape the technical approach, explore AI-assisted inverse design and lead publications. Integration into a working sensor prototype will be a shared effort with the PI, PhD researchers
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physiology? Are you interested in tackling challenging inverse problems in neuromuscular physiology and developing scalable algorithms for large biomedical datasets? Are you aiming for a research career
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thousands of diffraction patterns, followed by volume reconstruction from projections measured at many rotation angles. These are two inverse problems, each with its own sampling requirements that can be
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rotation angles. These are two inverse problems, each with its own sampling requirements. The questions we want to answer: What is the minimum number of diffraction patterns and projections needed to
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Mathjobs.org | 26 days ago
discovery: AI-assisted simulation, surrogate modeling, inverse learning problems, automated scientific discovery, generative approaches for science, and data-driven discovery of mathematical or physical