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5 Jun 2024 Job Information Organisation/Company ETH Zürich Research Field Environmental science » Earth science Environmental science » Other Mathematics » Statistics Physics » Computational physics
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are possible and encouraged. Collaborations include the National Weather Service MeteoSwiss, the Swiss Data Science Center SDSC, Prof. Nicolai Meinshausen (statistics and machine learning), various group leaders
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research in plant physiology, experience with sensor networks (automated dendrometers, sap-flow systems) and with processing and statistical analyses of large datasets is important. Teamwork within the group
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your online application with the following documents: Curriculum Vitae, max. 2 pages Motivational Letter, max. 2 pages Transcript of records Grade statistics of the university Contact details of 2
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extremes under different air pollution along a climatic gradient in Europe. Moreover, we will use statistical (e.g., random forest, generalised additive models) and process-based (e.g., SPA) models
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proficiency in relevant software tools for environmental assessment and statistical analysis Excellent written and verbal communication skills in English Ability to work effectively in a collaborative team
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, programming and statistical evaluation Machine learning analyses: implementation of established and new workflows Coordination of activities with Consortium partners, including presentation of results
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it includes both experimental and theoretical researchers which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's
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, econometrics, management/ decision sciences mathematics, statistics, computer science, physics or related fields. Your research track is consistent and shows a track record, or clear potential, for modelling
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which work together to combine cutting edge statistical and computational tools with quantitative experiments. A list of our group's publications can be found on Google Scholar . [1] 1. M. Kaiser, et al