The Role
The role focuses on designing and implementing agronomic trials, analyzing crop physiology, and utilizing remote sensing for data integration and monitoring. It includes synthesizing research evidence for recommendations and providing training.
Summary Generated by Built In
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
Skills Required
- 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
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The Company
What We Do
CIFOR-ICRAF is a collaborative research organization and a global leader in using trees, forests, and agroforestry to tackle global challenges such as climate change, biodiversity loss, food insecurity, and inequality, by enhancing landscape resilience.
