Job Vacancies at World Agroforestry Centre (ICRAF)

Duties and responsibilities

 Transport & Logistics

• Provide safe and timely transportation of staff, visitors, and goods to and from designated locations in the field.
• Support logistics arrangements for staff field movements, meetings, CIMMYT events, and emergencies.
• Conduct pre-trip and post-trip vehicle checks to ensure roadworthiness.
• Keep accurate records of mileage, fuel usage, trip details, and submit weekly/monthly usage reports.
• Provide logistical support for transport and field operations as required.

Vehicle Care, Mechanical & Maintenance

• Inspect, service, clean, lubricate, and perform minor repairs on farm machinery, attachments, and fleet vehicles; escalate major mechanical issues to external service providers.
• Assist with routine vehicle maintenance (cleaning, oil/water checks, brake checks, tire rotations) and ensure all vehicles meet statutory inspection and roadworthiness requirements.
• Support the development and implementation of preventive maintenance plans, and monitor vehicle performance, fuel efficiency, and maintenance schedules.
• Maintain farm tools and ensure a clean, well-organized workshop, and spare parts inventory to improve efficiency and reduce operational costs.

 Machine Operation

• Operate tractors and implements for land preparation (plowing, harrowing, disking, leveling etc.), slashing and field cleaning as required.
• Perform machine planting of trials and nurseries using tractor mounted planters across all programs.
• Operate combine harvesters during harvesting season to harvest trials across programs.

Safety & Compliance

• Ensure vehicles are equipped with safety kits, first aid kits, fire extinguishers, spare tires, and other essentials.
• Report accidents, incidents, or violations promptly and accurately to the supervisor.
• Ensure compliance with traffic laws and organizational transport policies.
• Promote high standards of road safety, courtesy, and professionalism always.

Requirements

• Valid driver’s license with clean driving record, class D1 (PSV Van) and G (tractor)
• Certification or proven experience in automotive mechanics.
• Minimum 5 years of experience in driving manual vehicles and vehicle maintenance.
• Knowledge of local traffic regulations and vehicle compliance standards.
• Strong mechanical aptitude and troubleshooting skills.
• Excellent driving skills and road safety awareness.
• Good communication and interpersonal skills.
• Ability to work independently and manage time effectively.
• High level of integrity and reliability.

The application deadline is 27 May 2026
 

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Duties and responsibilities

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

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

The application deadline is 31 May 2026
 

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Duties and responsibilities

MLOps Framework Development and Pipeline Automation

• Design and implement CI/CD pipelines and scalable MLOps frameworks.
• Develop and maintain data, training, and deployment pipelines ensuring reproducibility and efficiency.

Model Deployment, Monitoring, and Performance Optimization

• Deploy machine learning models into production and ensure reliable performance.
• Implement monitoring, logging, and alerting systems to track model accuracy and drift.

Image-Based AI and Digital Phenotyping Solutions

• Support development and deployment of image recognition models using drone and mobile imagery.
• Utilize tools such as Roboflow and Databricks for image-based workflows and scalable ML operations.

 Collaboration and Cross-Institutional Integration

• Work with CGIAR partners (e.g., ICRISAT, IITA) and internal teams to harmonize MLOps practices.
• Facilitate knowledge sharing and integration across multidisciplinary teams. 

Governance, Capacity Building, and Continuous Improvement

• Ensure compliance with data governance, security, and privacy standards.
• Provide training and promote adoption of best practices while integrating emerging MLOps.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, Agricultural Informatics, or a related quantitative field.
• Minimum 1–3 years of relevant experience in machine learning, data science, or MLOps environments.
• Demonstrated understanding of machine learning workflows, including data preprocessing, model training, evaluation, deployment, and monitoring.
• Experience working with machine learning models, deep learning frameworks, and Large Language Models (LLMs) in research or production settings.
• Experience working within international research organizations, CGIAR centers, or agricultural research projects will be an added advantage.

The application deadline is 11 Jun 2026