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enthusiastic about computational imaging and have experience in solving inverse problems. You enjoy scientific programming and thrive in collaborative, international environments, while also being able
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Summary Seeking one motivated MS engineering student to support a research project on real-time refractory thickness measurement using thermal sensing, inverse heat-conduction model, and 3D
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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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executed, ideally involving 3D image analysis, inverse problems, or physics-informed modeling. Cryo-EM/ET and computational structural biology projects are especially relevant. Discuss results
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
design problems and can be translated into the underlying mathematical models. They may, for example, arise from perturbations in boundary conditions, input parameters, or geometrical properties. When
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Dutch university requirements for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. You are curious
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mathematics. This includes but is not limited to: mathematical foundations of AI and machine learning, inverse problems, optimization, numerical analysis. Qualifications A Ph.D. in mathematics is required
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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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Mathjobs.org | 24 days ago
-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods for