Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Land-Climate Dynamics group is looking for a Doctoral candidate to investigate the influence of anthropogenic climate change on recent droughts and floods at regional to global scales.
Human greenhouse gas emissions are altering the climate system at an unprecedented pace, making hydrological systems one of the focal points of climate change. Hence, the occurrence of hydrological extremes such as droughts and floods trigger legitimate questions on the role anthropogenic climate change plays therein. The role of anthropogenic climate change on high-impact weather events is often assessed with extreme event attribution (EEA) techniques. These techniques aim at quantifying to what degree the occurrence probability or the intensity of an observed event has changed in response to climate change. For doing so, EEA relies on a diligent assessment of observational changes as well as an analysis of model simulations of factual (i.e. present day) and counter-factual (e.g., pre-industrial or past) climatic conditions. The goal of the project is to bridge this gap by developing a framework that enables an automated EEA, i.e., to quantify to which degree anthropogenic climate change has changed the occurrence probability or the magnitude of recently observed hydrological extremes. The research will be conducted within the “Automated Attribution of Hydrological High Impact Events Fueled by Changing Climate” project that is funded by the Swiss National Science Foundation (SNF) and linked to the.
As a doctoral student you will conduct quantitative and theoretical research at the interface between hydrological and climate sciences and investigate approaches that allow for an automated attribution of hydrological extremes at regional to global scales. This involves developing concepts for an automated attribution of hydrological extremes to anthropogenic climate change and their implementation using quantitative methods. To this end you will feed ensemble simulations of climate models to a global river flow routing model and apply extreme value statistics to both observational and simulated data.
We look forward to receiving your online application with the following documents:
Screening of applications will start on 20th January.
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the institute for Atmospheric and Climate Science can be found on . Questions regarding the position should be directed to Dr Lukas Gudmundsson, (no applications). Administrative requests should be directed to Rahel Buri, .
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