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Dynamic soil-vegetation-climate data modeler

OpenGeoHub Foundation

Renkum
Full-time
5-10 years experience
Hybrid

€4,390 per month

Work Arrangement

Office Days per Week: 4 days

Key Skills

Pedometrics
Envirometrics
Soil data
Agronomy
Spatial data science
Process-based modeling
Machine learning
High performance computing
Python
R
Bash
Julia
GIS
Biometrics
Statistics
Earth observation

Job Description

Application Deadline: 1st of September 2026 Possible start date: 1st of October 2026 Duration: 2+ years, Job location: Waldeck Pyrmonthlaan 14, 6865HH Doorwerth Bruto monthly salary: starting at €4,390 gross per month (with possible bonuses) Job type: researcher / post-doctoral researcher Fields: pedometrics, envirometrics, soil data, agronomy, spatial data science, process-based modeling 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 soil data expert (pedometrician). You would primarily contribute to the high profile Horizon Europe projects HydroDataCube, Salinova, SoilBiomass+, Open Geospatial Carbon Registry (OGCR), but also actively contribute to the 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, interpretation of soil predictions including predictive soil mapping results and process-based modeling. 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, SoilBiomass+ and OGCR projects. You would lead predictive soil mapping, process-based modeling with large pan-EU and global datasets. You would document all modeling steps and publish results in research journals. You would develop reproducible frameworks in Python and R developers that can be upscaled towards 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. “Join the prestigious OpenGeoHub research projects: OGCR, HydroDataCube4EU, SoilBiomass+ and Salinova and contribute to making the next-generation Soil Health Data Cube for Europe” Your profile Minimum Requirements You have an MSc degree and/or PhD degree in the field of agronomy and/or soil science and/or environmental sciences; combined with a background in GIS and spatial modeling. You have a minimum 5 years of work experience. You are familiar with soil laboratory data and soil laboratory procedures, soil sampling and soil classification. You are familiar with processing Earth Observation data, Landsat and Sentinel multispectral data for the purpose of predictive soil mapping. You have minimum coding & geocomputing skills in data science programming languages such as Python, Bash, R, and/or Julia. You have solid knowledge of biometrics / statistics. You know how to simplify code and processes and run automated software checks. You are fluent in English. INFORMATION AND APPLICATION Questions Questions regarding this position can be directed to Tom Hengl, email: [email protected] . Applications, including (1) a CV, (2) a statement of your interest and vision, and (3) a self-assessment based on the minimum requirements, should be uploaded via this link. Please prepare all documents as a PDF before starting the application. Our Offer We offer a full-time position for 2 years, with possible extension, within a very stimulating international innovation and research environment aiming at solving global and regional environmental problems at large scales. You will work in a dynamic work environment with enthusiastic colleagues usually from a variety of countries. Starting salary will be: starting from €4,390 gross per month with possible bonuses; A holiday allowance of 8% of the gross annual salary; Minimum of 29 holidays if in full-time employment; Professional and personal development programs. We strongly encourage a high degree of responsibility and independence, while collaborating with other colleagues. Flexi-hours and occasional remote working (1 day a week) are also possible upon agreement with the OpenGeoHub Management Board. Read Selection Process

Core Responsibilities

You will lead predictive soil mapping and process-based modeling using large pan-EU and global datasets while contributing to high-profile Horizon Europe projects. Additionally, you will develop reproducible frameworks for high-performance computing and document all modeling steps for publication in research journals.

Requirements

Candidates must hold an MSc or PhD in agronomy, soil science, or environmental sciences, combined with at least 5 years of work experience. Proficiency in GIS, spatial modeling, and programming languages such as Python, R, or Julia is required, along with familiarity with Earth Observation data.

Benefits

  • Holiday allowance
  • Professional development programs
  • Personal development programs

About OpenGeoHub Foundation

Industry: IT Services and IT Consulting

Company size: 11-50 employees

OpenGeoHub is a not-for-profit research foundation headquartered in Doorwerth, the Netherlands (Stichting OpenGeoHub, KvK 71844570). Its main goal is to promote the publishing and sharing of Open Geographical and Geoscientific Data and the use and development of Open-Source Software.

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