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understanding into more reliable and resilient materials and structures. By combining numerical modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with
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translating climate projections into actionable information on water resources, particularly in high-mountain regions where glacier melt significantly influences river flow. However, existing models
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position within a Research Infrastructure? No Offer Description Work group: Institute of Material Systems Modeling Area of research: PHD Thesis Part-Time Suitability: The position is suitable for
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environmental modeling (in particular coastal research and climate research) are potentially of interest. Your profile You should have a master's degree and PhD degree in computational engineering, applied
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renewable energy systems, greenhouse gas removal (CDR and AMR), climate modeling, ecosystem restoration, and ecosystem resilience Water resources engineering and management, including urban water systems
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Southeast Asia and globally. We conduct cutting-edge research on topics that include ecology, geohazards, climate change, sea-level rise, environmental sustainability, conservation of environment and
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-driven modeling Strong programming skills (ideally in Python and/or R) Experience in working with large datasets, ideally hydrological, meteorological or climate observations/simulations. Very good
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assessment modeling) Molecular ecology and genetic analysis Ecosystem forecasting Salmon life history Climate and ecosystems CoastWatch /PolarWatch Fisheries resources (including advanced survey
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biophysical ecology, modeling, acoustic telemetry, and landscape and seascape ecology) Fisheries assessment (including habitat and groundfish ecology and assessment modeling) Molecular ecology and
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biophysical ecology, modeling, acoustic telemetry, and landscape and seascape ecology) Fisheries assessment (including habitat and groundfish ecology and assessment modeling) Molecular ecology and