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 Department of Systems Analysis, Integrated Assessment and Modelling (Siam) has a vacancy for a
The objective of this project is
to increase our mechanistic understanding of planktonic food webs in mesocosm and lake ecosystems through stochastic, individual-based modelling and Bayesian inference using lab and field data. Inferring model parameters from data using deterministic models is a well-established technique of statistical learning in ecology and many other application fields. However, in the past, conceptual and computational difficulties made it hardly possible to perform statistical inference with stochastic, individual-based ecological models. Based on recent progress in this field, both internationally and in our groups, we are interested in exploring the potential of the application of these techniques to ecological data sets and to apply them to improve our gain of knowledge from such data sets. Case studies will start with a model system with two species (daphnia and green algae) and at a later stage be extended to more complex mesocosm food webs and/or to lake ecosystems. We are looking for
a candidate with a strong mathematical and statistical background (PhD in mathematics, physics, computational sciences, or a similar field), good programming skills, interest in applying his or her knowledge to infer properties of species, populations and ecological communities, and good communication skills in an interdisciplinary environment. The position is
available for two years with the potential for an extension by another year. 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. 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
. For further information
please contact Prof. Dr Peter Reichert, Email email@example.com
. The closing date for applications is 30 November 2017.
Please submit your application including CV, motivation letter, copies of academic qualifications and the names and contact information for two references. 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.