Crop Science and Remote Sensing Specialist -CIMMYT

1. 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.
  

2. 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)
  

3. 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
  

4. 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