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