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, leveraging both high-resolution, open-access climate projection ensembles and statistical/machine learning-based resampling techniques. Integrating “worst-case” weather years into detailed energy system models
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) and experience in applying machine learning or AI techniques in research. You have good quantitative research skills (e.g., survey data, experiments, web-scraping, regression models). Willingness
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observations. Your major challenge is in model development, and there is room for you to develop machine learning applications in the field of firn modelling. If successful, your work will lay the foundation
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algebraic geometry, or representation theory; familiarity with programming and the use of computer algebra. Our offer A position for 18 months, with an extension to a total of four years upon successful