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