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 objective of the SPUX project is
to advance high performance scientific computing in water research by developing a parallel uncertainty quantification framework for complex environmental dynamical systems with intrinsic epistemic uncertainties, often simulated using stochastic models, such as individual based models and stochastic differential equations. We aim to develop parallel supercomputer enabled Bayesian inference framework using Particle Markov Chain Monte Carlo, capable of efficiently estimating complex marginal parameter likelihoods for non-linear stochastic models and sampling the resulting parameter posterior distribution. The newly developed prototype framework SPUX will be extended using adaptive computational load balancing and hybrid parallelization techniques, modern ensemble and multi-level Markov Chain Monte Carlo samplers, and ported to energy efficient multi-core accelerators. SPUX will be applied within scientific collaborations in ecology, hydrological catchment modeling, subsurface ground water flows and urban flood risk assessment.
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, good communication skills across interdisciplinary environments, and interest in applying his/her knowledge to develop a parallel Bayesian inference frame-work for modern supercomputers with applications aimed at advancing predictive capabilities of numerical models in hydrological, ecological and engineering research. The position is
available for two years in Zurich, Switzerland. Flexibility for occasional scientific visits to collaborators at UKL in Landau, ETH in Zurich, EPF in Lausanne, and CSCS in Lugano is expected. Eawag offers
a stimulating research and working environment
with strong collaboration between mod-elers 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.
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 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 firstname.lastname@example.org
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.