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geoscience, energy systems, materials modelling, fluid dynamics, and other scientific and engineering domains where data-driven models must interact with physical knowledge. Such problems raise fundamental
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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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material models, the development of Digital Twins, and the use of AI-based methods. This includes building model-ready databases, developing simulation chains that link process simulations with analysis
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to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
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can be readily incorporated. This will involve hierarchical modeling strategies. Additionally, you will help in extending the possible material properties within the electromagnetic modeling techniques
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circular consumption contributes to extending product lifetime, retaining material value, and reducing waste, with cases on e-bikes and electronics (washing machines). Using a transdisciplinary research
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to extending product lifetime, retaining material value, and reducing waste, with cases on e-bikes and electronics (washing machines). Using a transdisciplinary research approach that includes stakeholder
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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renovation. Impact: Enable robust decisions for sustainable buildings. Job description Delft University of Technology is hiring a PhD researcher on “Uncertainty-based Life-Cycle Modelling for Building
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be computed using the appropriate modelling techniques. Method and models will be developed when necessary. Job requirements The ideal candidate: Holds an MSc in Mechanical, Chemical, Materials Eng