At OpenGeoHub, Robert supports current and future high profile European Commission-funded and other international projects where there is a need to develop new solutions for geocomputing, optimizing modeling frameworks and publishing the scientific outputs. Specific task include but are not limited to developing code and datasets that aim at:
- Helping with preparing, harmonizing and cleaning point datasets and soil spectroscopy datasets that can be used for training predictive models,
- Running predictive soil mapping using Machine Learning in modeling frameworks,
- Implementing parallelisation in cluster or cloud solutions,
- Using HPC-C4G to optimize spatial analysis increasing mapping accuracy of automated predictive mapping.
Robert holds PhD in Physical Geography and has a background in Geoinformatics. He has experience with digital soil mapping and predictive modeling of forest disturbance using machine learning. At OpenGeoHub is a postdoctoral researcher. Besides the above-mentioned tasks, his function also includes the publication of results in peer-reviewed journals and supervision of junior staff.
PhD, Charles University, Czechia (Physical geography and Geoecology)
MSc, Palacky University Olomouc, Czechia (Geoinformatics)
BSc, Palacky University Olomouc, Czechia (Geoinformatics and Geography)
2023-present: Post-doctoral researcher, OpenGeoHub Foundation
2022-2023: assistant professor, Dept. of Geoinformatics, Palacky University Olomouc, Czechia
2021-2022: lecturer, Dept. of Geoinformatics, Palacky University Olomouc, Czechia
2017-2023: research assistant, Laboratory of Remote Sensing and Pedometrics, Research Institute for Soil and Water Conservation, Czechia