Two-year postdoc in advanced data analysis and machine learning in hydrologic systems.- ETH Zurich, CHE
David K
Two-year postdoc: advanced data analysis and machine learning in nonlinear, nonstationary, and heterogeneous hydrologic systems.
The professorship of the Physics of Environmental Systems in the Department of Environmental Systems Science at ETH Zurich (twitter @KirchnerLabETH) invites applications for a two-year postdoctoral research position developing knowledge-guided, data-driven tools to explore runoff response and transport timescales in nonlinear, nonstationary, and heterogeneous hydrologic systems.
This project is a collaboration between ETH Zurich (Prof. James Kirchner), EPFL (Dr. Paolo Benettin), and the Swiss Data Science Center. New and emerging techniques to be investigated include ensemble hydrograph separation (https://doi.org/10.5194/hess-23-303-2019), ensemble rainfall-runoff analysis (https://doi.org/10.3390/s22093291), and AI/machine learning methods. These methods will be applied to uniquely detailed and extensive data sets, including several decades of 10-minute weather and streamflow data from hundreds of Swiss rivers and streams, and long-term hourly isotopic and chemical time series measured at experimental catchments using lab-in-the-field methods (https://doi.org/10.5194/hess-21-1721-2017).
We seek individuals with strong technical skills, a solid background in the natural sciences or engineering, a good publication record relative to their career stage, and research interests in catchment hydrology or related fields. Prior experience in statistics, data science, and machine learning is a plus, as is familiarity with scripting languages such as R and Python.
As Europe's leading technical university, ETH Zurich has excellent infrastructure and research support. Collaborative links with other Swiss universities and two federal research institutes, WSL and Eawag, provide additional depth and breadth in environmental science, and the Swiss landscape is an outstanding natural laboratory.
Applicants should supply a single PDF containing:
- a statement of their research interests, experience and technical background
- a CV and complete publications list
- and contact information for three references.
They may also supply up to three examples of their best published work, again as PDF's.
This position is available immediately, must be filled by the end of 2022, and is funded for two years. Applications are currently under review, and new applications will be considered until the position is filled. As part of ETH's efforts to promote women in science, qualified female candidates are particularly encouraged to apply.
Applications should be sent to appl...@env.ethz.ch