Crop Science and Remote Sensing Specialist-CIMMYT at World Agroforestry Centre (ICRAF)

The World Agroforestry Centre, is an international institute headquartered in Nairobi, Kenya, and founded in 1978. The Centre specializes in the sustainable management, protection and regulation of tropical rainforest and natural reserves.

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

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