Duties and responsibilities
Agronomy
Design, implement, and oversee on-station and on-farm agronomic trials aligned with breeding and seed systems research objectives
Optimize agronomic packages (plant population, nutrient management, water management, and cropping systems)
Ensure standardized agronomic protocols and data quality across locations
Monitor crop growth and field conditions, ensuring uniformity and trial integrity
Maintain accurate agronomic records for all trials
Analyze agronomic trial data and contribute to interpretation of G×E×M interactions.
Crop Physiology
Identify and quantify key physiological traits associated with yield, stress tolerance, and resource-use efficiency
Support phenotyping for drought, heat, nutrient stress, and other priority constraints through implementation of standardized phenotyping protocols across sites and seasons
Integrate physiological trait data with agronomic and breeding datasets to inform varietal selection and targeting
Conduct physiological experiments under field and controlled conditions (where applicable/necessary)
Remote Sensing and Geospatial Analytics
Deploy and operate remote sensing tools such as UAVs/drones, handheld sensors, and proximal platforms for data collection, including processing, and analysis of imagery and sensor data
Acquire & process imagery from satellites, drones, and aerial platforms
Apply vegetation indices and spatial analytics for crop monitoring, stress detection, and trial quality assessment
Integrate remote sensing and GIS data with field and physiological data for high-throughput phenotyping
Produce spatial maps, dashboards, and visual products for technical reporting
Mapping potential distribution area of various stresses, diseases and pests using environmental variables associated with their occurrence
Integration, Capacity Building, and Reporting
Synthesize agronomic, physiological, and remote sensing evidence into actionable recommendations
Provide technical backstopping and training to partners, field teams, and national programs
Contribute to scientific publications, technical reports, and donor deliverables
Support data documentation, reproducibility, and knowledge management
Requirements
MSc in Agronomy/Crop Physiology & Remote Sensing
Minimum 3 - 5 years of experience in applied agricultural research
Demonstrated experience integrating field trials, physiological measurements, and remote sensing data
Strong quantitative and data analysis skills (e.g., R, Python, GIS platforms, Google Earth Engine, ArcMap)
Experience working in multi-disciplinary and multi-location projects
Prior engagement with international, CGIAR, NARS, or donor-funded programs is an advantage
The application deadline is 31 May 2026