OpenGeoHub foundation is a not-for-profit research foundation with headquarters at Doorwerth (half way between Wageningen and Arnhem), the Netherlands. We aim to become world experts in producing global and regional spatial predictions of soil, vegetation and climatic variables. For this, we use high performance computing / optimisation and state-of-the-art machine learning.
OpenGeoHub foundation is looking for a junior soil-climate data expert (pedometrician). You would primarily contribute to the high profile Horizon Europe projects HydroDataCube, Salinova, SoilBiomass+ and Open Geospatial Carbon Registry (OGCR), but also actively contribute to soildb.OpenLandMap.org and EcoDataCube.eu.
You would contribute to soil data quality control, fitting pedo transfer functions (using R and/or Python), spatial modeling with soil data and interpretation of soil predictions including predictive soil mapping results.
OpenGeoHub would provide HPC infrastructure called EOsoilmapper (that includes own copy of Landsat, MODIS and numerous other global and regional data sets; >3PB of data running on some 40 servers) and would lead and supervise the candidate jointly with other partner organizations on the HydroDataCube4EU, Salinova and OGCR projects.
You would assist in making soil laboratory data (observations & measurements) analysis ready, based on the best training points, then work with top Python and R developers to help run High Performance Computing.
You would also support projects that are implemented by networks of researchers outside of OpenGeoHub.
OpenGeoHub works closely with Technical University of Vienna, DLR German Space Agency, Technical University of Hamburg, CNR IRPI, IIASA (Geo-wiki.org), Utrecht University, GFZ Helmholtz German Research Centre for Geosciences, GiLAB.rs, and many other organizations.
Our clients / collaborating organizations also include: World Resources Institute, The Nature Conservancy, UNCCD, Conservation International and others.