Postdoctoral Research Associate – Crop Systems Modeling and Data Analytics
Core
Analyze experimental and on-farm datasets, integrate drone and remote-sensing imagery, and conduct APSIM simulations to improve crop productivity and environmental performance in U.S. Midwest corn and soybean systems.
Role type
Postdoctoral Research Associate (Crop Systems Modeling and Data Analytics)
Builds
Predictive models and decision-support insights for agricultural systems
Domain
Agronomy, Crop Science, Remote Sensing, Agricultural Systems Modeling
Deliverable
production ML models | research
Required skills
Process-based crop simulation modeling (APSIM), Remote sensing data processing, Statistical analysis of agronomic datasets, Scientific manuscript authoring, G x M x E interaction analysis, Predictive modeling
Preferred skills
Experience with drone imagery acquisition, Experience with soil and weather data analysis
Technologies
APSIM, Drone imagery tools
Responsibilities
Analyze large experimental and on-farm datasets from corn and soybean production systems, Process and interpret drone-based and remote sensing imagery, Conduct APSIM simulation modeling and related analyses, Investigate Genotype × Management × Environment (G × M × E) interactions across production environments, Develop predictive models and decision-support insights for agricultural systems, Synthesize experimental and modeling outcomes into peer-reviewed journal manuscripts, Present research findings at regional, national, and international scientific conferences
Seniority
Postdoctoral Researcher, hands-on IC