4 Vacancies Open At CIFOR

World Agroforestry Jobs in Kenya: 4 Open Positions at CIFOR-ICRAF, CIMMYT and SEI World Agroforestry, through CIFOR-ICRAF, has announced several job opportunities in Kenya for professionals interested in research, agriculture, agroforestry, climate services, machine learning operations, programme coordination, monitoring and evaluation, and transport support. The available vacancies are hosted under CIMMYT and SEI, with duty stations in Nairobi and Kiboko, Makueni County. CIFOR-ICRAF is a non-profit science institution and a CGIAR centre working on forests, trees, agroforestry landscapes, climate, biodiversity, livelihoods and food security. The advertised positions are suitable for candidates seeking roles in international research environments, agricultural innovation, digital agriculture, field research, climate services, and institutional support. The roles are locally recruited positions, and successful candidates will support work connected to applied agricultural science, climate and environmental research, and research operations in Kenya. Available Positions Research Technician – Breeding – CIMMYT Location: Kiboko, Makueni County, KenyaOrganization: World Agroforestry Centre / CIFOR-ICRAFHosted programme: CIMMYTJob category: Local position CIMMYT is seeking a Research Technician – Breeding to support field-based breeding operations and multi-location trials for finger millet. The role is designed for a detail-oriented professional who can support breeding research through nursery management, pollination, controlled crossing, field trial implementation, data entry and coordination of field teams. Duties and Responsibilities Coordinate, execute and manage finger millet breeding nurseries. Support bi-parental crossing activities as guided by scientists. Implement and coordinate Forward Accelerated Selfing Technique activities on breeding populations. Work with agronomists and station operations teams on land preparation, fertilizer application, irrigation scheduling, weed control and pest management. Supervise seasonal workers involved in planting, pollination, rogueing, bagging and harvesting. Train field workers on cross-pollination, contamination avoidance, teamwork, safety and operational efficiency. Operate and maintain breeding data in the Enterprise Breeding System. Ensure nursery layouts, field books and phenotypic data are entered and updated on time. Manage crossing work, pollination and bagging to generate new breeding populations. Supervise controlled pollination activities, including bagging, pollen collection and hand pollination. Monitor crop progress and address issues affecting breeding populations. Organize harvesting, drying, threshing, cleaning and grading of seed lots. Implement regional multi-location trials in collaboration with partners. Prepare, pack and document trial seed kits. Coordinate shipment of trial seed to partner sites. Liaise with NARS partners and trial site teams on trial preparation and management. Coordinate digital data collection across trial sites. Support data cleaning and long-term maintenance of trial data and metadata. Prepare field management reports, trial logs, seed inventory summaries and recommendations. Provide field training and coaching to seasonal staff, students and visiting researchers. Requirements Master’s or Bachelor’s degree in Plant Breeding or a related field. Minimum two years of practical experience in field crop research. Specific experience in pearl millet or hybrid seed production is preferred. In-depth knowledge of pearl millet floral biology and pollination. Familiarity with digital data collection apps such as Fieldbook and tablets. Ability to drive a field car, including pickup vehicles with manual or automatic gear. Willingness to travel occasionally to partner locations. Strong organization and time management skills. Ability to supervise field teams and work in multicultural environments. Attention to detail and commitment to high research standards. Ability to work in hot, semi-arid field conditions. Good communication skills in English. Swahili proficiency is beneficial. Problem-solving mindset and ability to work with minimal supervision. Machine Learning Operations Specialist – CIMMYT Location: Nairobi, KenyaOrganization: World Agroforestry Centre / CIFOR-ICRAFHosted programme: CIMMYTJob category: Local position The Machine Learning Operations Specialist will support the establishment and management of scalable machine learning operations for AI models used in agricultural research. The role focuses on digital phenotyping, data-driven research, image-based AI solutions, drone and mobile data, model deployment, monitoring, automation and institutional data governance. Duties and Responsibilities Design and implement CI/CD pipelines and scalable MLOps frameworks. Develop an... [Read more on the source website]