Postdoctoral Research Associate – Crop Systems Modeling and Data Analytics

Primary 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.
• Evaluate crop responses to management practices, nitrogen fertilizer strategies, and environmental conditions.
• Synthesize experimental and modeling outcomes into peer-reviewed journal manuscripts.
• Present research findings at regional, national, and international scientific conferences.
• Collaborate with faculty, graduate students, research staff, and external partners.
• Contribute to grant-funded research activities and reporting requirements.

Required Minimum Qualifications

• PhD in agronomy or related science.

Preferred Qualifications

• Experience authoring and contributing to peer-reviewed scientific publications.
• Demonstrated ability to analyze and interpret agronomic datasets, including crop, soil, weather, and management data.
• Experience with process-based crop simulation modeling, particularly the Agricultural Production Systems sIMulator (APSIM).
• Experience with remote sensing applications, including drone imagery acquisition, processing, and analysis.