Wissenschaftliche Mitarbeiterin/Wissenschaftlicher Mitarbeiter...
Core
Developing nationwide suitability and risk maps for legume crops (chickpea, field pea, soybean, lupin) by integrating soil, weather, and climate data with process-based crop growth modeling.
Role type
Research scientist (crop modeling & GIS)
Builds
Publicly accessible suitability and risk maps for sustainable crop production systems
Domain
Agriculture, Plant Science, Climate Resilience
Deliverable
production ML models
Required skills
Process-based crop growth modeling, Statistical analysis, Programming (R, Python), Data harmonization, Sensitivity analysis, GIS evaluation
Preferred skills
DSSAT, APSIM, SSM-iCrop2, Genotype-Environment-Management interactions
Technologies
DSSAT-CROPGRO, SSM-iCrop2, R, Python, GIS
Responsibilities
Select and develop process-based crop growth models; Merge and validate experimental data; Calibrate models using phenology and yield data; Conduct sensitivity and uncertainty analyses; Simulate plant development and yield potential; Develop model-based indicators for GIS evaluation; Publish research findings.
Seniority
Mid-level Research Scientist (Master's level)