Application Deadline: 1st of December 2025
Possible start date: 15th January 2026
Duration: 2+ years,
Job location: Waldeck Pyrmonthlaan 14, 6865HH Doorwerth
Bruto monthly salary: starting at €4,494 gross per month (with possible bonuses)
Job type: Earth Observation data, Geophysics, High Performance Computing (HPC), machine learning, AI, geoinformatics
Employer: OpenGeoHub foundation
Job description
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 computer scientist, expert in High Performance Computing and Big data (Earth Observation Images) infrastructures, with affinity to help optimize code (C++, Julia, Python, Bash). The special focus of your work will be on installing, maintaining and optimizing High Performance Computing infrastructure based on file services (e.g. S3, ceph), distributed computing (Slurm, Hadoop), robust scalable back-end solutions (based on Docker), and optimizing data storage using cutting edge compressing methods. Most of our geospatial data is structured as a time-series of EO images (https://doi.org/10.7717/peerj.18585; https://doi.org/10.1038/s41597-025-05739-6) in cloud-native formats (Cloud-Optimized GeoTIFFs, GeoZarr, NetCDF and similar) and point samples in GeoParquet. You would primarily contribute to the Horizon Europe projects Open Earth Monitor (OEMC), Open Geospatial Carbon Registry (OGCR), but also actively contribute to the OpenLandMap.org, EcoDataCube.eu and the AI4SoilHealth.eu projects.
OpenGeoHub would provide HPC infrastructure (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 OEMC and OGCR projects. You would be in charge of optimizing code and workflows hence proficiency in C++, Python, Julia and similar is a requirement.
You would also support projects that are implemented by networks of researchers outside of OpenGeoHub. OpenGeoHub works closely with IIASA (Geo-wiki.org), Utrecht University, Wageningen University (Laboratory of Geo-information Science and Remote Sensing), EURAC Research, The Woodwell Climate Research Center, Max-Planck-Institute for Biogeochemistry (Biogeochemical Integration Department), Institute for Geoinformatics (ifgi) / University of Münster, 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.