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 conducts 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
We aim to advance the forecasting capabilities of the data-driven hydrodynamic and ecological lake modeling algorithms using methodologies inspired by data science and accelerated by high perfor-mance 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 ac-tivities
- develop the visualization portal
- interface and collaborate with Computer and Environmental scientists
- 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
The position is available for one year. Weekly interactions with collaborators at EPFL, ETHZ, Eawag and SDSC are expected. The preferred start is June 2019.
a stimulating research and working environment
with strong collaboration between model-ers and experimental and observational scientists. Eawag is committed to promoting equal opportunities for women and men and to support the compatibility of family and work. Applications from women are especially welcome. For more information about Eawag and our work conditions please consult www.eawag.ch
The closing date for applications is 1 May 2019 or until filled. Please submit your application including CV, motivation letter, copies of academic qualifications and contact information for two references or pointers to diploma work and existing project experience.
We look forward to receiving your application. Please send it through this webpage, any other way of applying will not be considered. A click on the button below will take you directly to the application form.