Open-source geospatial research foundation for environmental data and AI
OpenGeoHub is a nonprofit research foundation operating a polyglot stack (R, Python, Julia, C++) built around geospatial and environmental data. The infrastructure is heavy on compute—AWS, Slurm, Hadoop, Ceph—and the project list (soil health, carbon registry, land monitoring, hydrology cubes) reveals a focus on large-scale environmental modeling. Hiring skews research-senior (6 of 13 roles), with acute infrastructure pain points (HPC optimization, electricity costs, data storage) typical of compute-intensive research orgs.
OpenGeoHub is a nonprofit research foundation based in Doorwerth, Netherlands, dedicated to advancing open geospatial and geoscientific data publishing alongside open-source software development. The organization operates interconnected projects spanning soil health modeling, carbon accounting, land-use monitoring, and hydrological data systems—each generating or processing large environmental datasets. Their stack reflects research-grade geospatial workflows: R and Python for analysis, Julia and C++ for numerical computation, and a full HPC stack (Slurm, Hadoop, Ceph, AWS) for managing multi-terabyte datasets. The team is lean (11–50 employees) with research leadership and engineering support for infrastructure and visualization.
R, Python, Julia, C++, AWS, Slurm, Hadoop, Ceph for compute and storage; Shiny and React for visualization; NetCDF and Parquet for data formats; QGIS for geospatial work.
Active projects include OpenLandMap, Open Earth Monitor, EcoDataCube, soil health AI models, global pasture monitoring, carbon registry, hydrological data systems, and land-carbon labs.
Doorwerth, Gelderland, Netherlands. Currently hiring only in the Netherlands across research, data, engineering, and finance roles.
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