Postdoc position: R software for robust geostatistical modelling

The Institute of Terrestrial Ecosystems (ITES), Department of Environmental Sciences, ETH Zurich, and the Swiss Soil Monitoring Network (NABO), embark on a new project to develop software for robust geostatistical analyses of soil and other spatial environmental data. The software will be implemented in R, and its development will be complemented by geostatistical case studies that should document and illustrate its use for potential users in government agencies. The project is supported by the Swiss Federal Office for the Environment (FOEN), funding is available for one year.

For this project we seek a postdoctoral fellow. His or her duties will be:
• developing robust methods and algorithms for linear modelling and prediction of spatially correlated data,
• implementing the developed algorithms in R,
• documenting and bundling the software as R add-on package,
• contributing to the illustrating case studies, and
• providing support to NABO staff in geostatistical analyses.

Applicants should have a PhD, preferably in statistics, environmental sciences or engineering or in a related field. Excellent programming skills in R are indispensable. Familiarity with the ESRI GIS tools and experience in GIS analyses is an asset. Good knowledge of English is required; knowledge of German is an advantage. He or she is expected to contribute significantly to methodological research and to design, implement, and document the R software in collaboration with the project leader and NABO staff. Ability and willingness for cooperation with environmental scientists is essential.

Candidates should submit their application (that should include a CV, a statement of research interest and qualifications, and contact details of three academic referees) through the online job portal of ETH Zurich (

Further information about the position is available from Dr. Andreas Papritz, papritz[at]

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