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? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems. As a PhD candidate, you
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problem not only faced by industry (e.g., steel, catalysts, metal structures) but also by academia and public services (e.g., archives, museums). The broader question that this project addresses is how we
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we see what is hidden? And how much can we trust the reconstruction? Answering these questions requires pushing the limits of numerical analysis and computation for wave equations and inverse problems
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processing; experience with array processing or inverse problems is beneficial. Proficiency in programming languages such as C, C++, Python, or Julia/Matlab is advantageous. Background in computational
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18 Nov 2025 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Engineering » Biomedical engineering Engineering » Mechanical engineering Researcher Profile First
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, this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters with integrated geophysical observations. This framework will
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separately provide only a partial picture of the interior. Still, this is often how the problem is approached. In this project, we aim to build a framework to perform a joint inversion of interior parameters