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complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we are interested in the joint applicability of such models and to
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floods—in mountain catchments. The goal is to understand long-term changes in runoff regimes and flood hazards by combining climate-driven (glacier-)hydrological modelling with reconstructions of past
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mountain catchments. The goal is to understand long-term changes in runoff regimes and flood hazards by combining climate-driven (glacier-)hydrological modelling with reconstructions of past flood events
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will contribute to developing knowledge-driven decision-making models. The postdoctoral research fellow will actively participate during the supervision process of PhD-students as main or co-supervisor
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techniques such as signal processing and dynamic systems modeling, and will contribute to developing knowledge-driven decision-making models. The postdoctoral research fellow will actively participate during