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(CWI) and co-supervised by Dr. Chris Stolk (University of Amsterdam). You will interact with researchers with backgrounds in inverse problems, numerical analysis, scientific computing and imaging, and
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project. Computational mechanics PhD projects PhD 1: Rolling contact fatigue in green bearing steels – numerical microstructural modelling [SKF; Ron Peerlings] PhD 2: Predictive analysis of edge crack
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will be combined with theoretical modelling, statistical data analysis, and numerical simulations to identify the governing mechanisms and to determine whether and how proximity to a phase transition
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methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use these enriched datasets to assess the future insurability of
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment. You will
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vision, numerical analysis and computing as well as probability and statistics. What you bring Master’s degree in mathematics or equivalent, including a solid background in analysis, dynamical systems, and
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into the electromagnetic model for robust performance analysis? Information Antenna and RF systems play a pivotal role in society by providing a crucial enabling medical diagnostics, transportation, and communication in
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the experimental lab (https://www.mathbioleiden.nl/software.html#virtualleaf ). Incorporate detailed insights into the model of the mechanical properties of cell walls based on experiments and small-scale
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study. The research will begin with the analysis of baseline and historical data collected from wayside sensors installed on selected instrumented railway bridges. Building on these insights, an on-board