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 High Performance Scientific Computing Group (SC) in the Department of Systems Analysis, Integrated Assessment and Modelling (SIAM) has a vacancy for a
Postdoctoral researcher position in computational aquatic data science (DATALAKES)
The objective of this project is to advance the forecasting capabilities of the data-driven hydrological and ecological lake modeling algorithms using methodologies inspired by data science and accelerated by high performance computing. We aim to develop a parallel framework interfacing high resolution 3D numerical solvers for the underlying lake dynamics with modern numerical Markov Chain Monte Carlo sampling methods for Bayesian inference, with particular interest in investigating particle filtering and multi-level variance reduction methodologies. The resulting framework aims at accurate data assimilation and uncertainty quantification in both model parameters and the associated forecasts. This project is a part of a larger DATALAKES collaboration with the Swiss Data Science Center (SDSC), EPF Lausanne and ETH Zurich, aiming at a sensor-to-frontend data platform providing and analyzing the dynamics of lake ecosystems at high spatial and temporal resolutions.

We are looking for a candidate with a strong mathematical, statistical and computational background (PhD in mathematics, physics, computational sciences, or similar), good programming skills complemented by experience in parallel computing, interest in applying his/her knowledge to advance predictive capabilities and computational performance of numerical models for hydrological and ecological lake dynamics, and good communication skills across interdisciplinary environments.

The position is
available for two years in Zurich, Switzerland. Flexibility for occasional scientific visits to collaborators at ETH and SDSC in Zurich, EPF in Lausanne and CSCS in Lugano is expected.

Eawag offers
a stimulating research and working environment with strong collaboration between modelers and experimental and observational scientists. In our department, SIAM, we offer the potential for interaction with researchers in statistical inference, computation and mathematical modelling of hydrological and ecological systems, and strong links to other departments. External partners include the Swiss Supercomputing Center (CSCS) and the Swiss Data Science Center (SDSC).

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 and www.eawag.ch/en/aboutus/working/employment.

The closing date for applications is 4 April 2018 or until filled. Please submit your application including CV, motivation letter, copies of academic qualifications and contact information for two references.

For further information please contact Dr Jonas Sukys, Email jonas.sukys@eawag.ch.

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.
Eawag: Swiss Federal Institute of Aquatic Science and Technology