Dear all! Eawag, the Swiss Federal Institute of Aquatic Science and Technology, is an internationally networked aquatic research institute within the ETH Domain (Swiss Federal Institutes of Technology). Eawag con-ducts research, education and expert consulting to achieve the dual goals of meeting direct human needs for water and maintaining the function and integrity of aquatic ecosystems.
The Aquatic Physics Group (APHYS) in the Department of Surface Water Management and Technology (SURF) and the Scientific Computing group (SC) at the Department of System Analysis, Integrated As-sessment and Modelling (SIAM) have a vacancy for a *Computer Scientist position for Environmental science* We aim to advance the forecasting capabilities of the data-driven hydrodynamic and ecological lake mod-eling algorithms using methodologies inspired by data science and accelerated by high performance computing. The objective of this project is to develop a state of the art data platform for aquatic science with a primary focus on Lake Geneva. This project will ensure for the scientific community long term best practices of the new observational platform recently deployed on Lake Geneva (LéXPLORE) by using newly developed RENKU framework (by the Swiss Data Science Center, SDSC). This activity is a part of a larger DATALAKES collaboration with SDSC, EPF Lausanne and ETH Zurich. The ideal candidate will * work as Computer Engineer interested in applied environmental science * develop and deploy a platform based on data science oriented Renku framework * design and implement data repository and storage solution compatible with machine learning activities * develop the visualization portal * interface and collaborate with Computer and Environmental scientists Requirements * knowledge in computer science fundamentals with strong interest in data science * experience in Python and scripting and comfortable using Git / GitLab * experience with containers technology * comfortable with Linux platform * data repository experience and software building is a plus https://apply.refline.ch/673277/0697/pub/1/index.html
SURF_Computer Scientist Datalakes.pdf
Description: SURF_Computer Scientist Datalakes.pdf
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