Webseite ETH Zürich
We are offering a position in data science programming and geospatial earth science to join the science branch of the Crowther Lab at ETH Zurich – a unique research group specializing in global ecosystem ecology that aims to improve our collective understanding of the scientific processes regulating the Earth’s climate.
The focus for this position will be mapping the above and below ground terrestrial biosphere at a higher spatio-temporal resolution. Using massive ecological datasets, the Crowther Lab has developed various approaches to modelling critical ecosystem information and processes across the globe. We now aim to develop more tailored maps relevant to the needs of restoration practitioners who want to a) better understand their ecosystem, b) support the development of restoration strategies and c) monitor their progress over time. As such, the specific function of this role will be to lead the technical side of projects involving “big data”. The successful candidate will develop geospatial models (largely in Google Earth Engine) and implement cutting-edge machine learning tools to provide new information on ecosystem components like tree species diversity, global tree cover, soil carbon storage, and soil microbial distributions. The individual will leverage and improve the modelling pipeline already developed by the Crowther Lab to develop new ecological layers (local and global) and enhance the resolution of existing layers. The candidate will also help to build and design web platforms to share these geospatial layers with many of the group’s partner organizations that aid in combatting climate change and biodiversity loss. Candidates should have the ecological skills to aid in interpreting and refining these large datasets and models, as well as the readiness to learn how to adapt websites interfacing with Google Earth Engine. Part of the role will involve liaising with the group’s partner organizations (e.g. restoration projects) to better understand their needs, and concisely communicate what our models / maps are capable of showing (in terms of spatial and/or temporal resolution, and with what degree of certainty). This person will also be responsible for implementing all processes related to Information Technology within the Crowther Lab.
We look forward to receiving your online application containing a curriculum vitae, copies of diploma/certificates, contact information of 2-3 potential referees, and a cover letter detailing your motivation for this role.
Applications are due by 30th May 2020. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.