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description Internal erosion and piping are among the main failure mechanisms of clay–sand layered dikes and remain important challenges in flood risk management. Reliable numerical models can improve our
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and numerical models that predict material deformation, force transmission to cells and the resulting changes in cellular mechanics and signalling. The position is primarily computational, but a
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risk management. Reliable numerical models can improve our understanding of how piping develops and help engineers assess and design safer, more reliable flood defence systems. In this PhD project, you
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will be employed and tested on actual measurement data as a benchmark. The project will involve mathematical modeling, construction of numerical methods, coding, testing, numerical simulations, and
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wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim is to obtain
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design
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of each 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
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scientific writing, bifurcation analysis or numerical ocean modeling are considered a plus. Our offer A temporary contract for 38 hours per week for the duration of 4 years (the initial contract will be for a
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universities, you will use numerical ecosystem modelling to quantify the ecological effects of biofouling communities on primary and secondary production, carbon cycling, and blue carbon sequestration. You will
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim