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Postdoctoral position in scientific computing, machine learning, and inverse problems The Department of Mathematics invites applications for a postdoctoral position with partial external grant
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to work with Professor Elena Beretta on inverse problems for nonlinear partial differential equations arising in the life sciences and medical imaging. The successful applicant will contribute to a
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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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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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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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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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geometry, number theory, data. * Qin Li: Scientific computing, machine learning, inverse problems. * Hanbaek Lyu: Combinatorics, probability, optimization, and machine learning. * Laurentiu Maxim
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 15 hours ago
Qualifications: Expertise in the development of seismic processing algorithms, high-performance computing, and/or large-scale inverse problems; Experience in developing open-source software and a track
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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 and technical staff
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frameworks scientific machine learning, inverse problems, differentiable simulation, or physics-based modelling computer vision, biological image analysis, microscopy data, or other noisy high-dimensional