The International Institute of Tropical Agriculture (IITA) is one of the world's leading research partners in finding solutions for hunger, malnutrition, and poverty. Our award-winning research for development (R4D) addresses the development needs of tropical countries. We work with partners to enhance crop quality and productivity, reduce producer and consu...
Participate in designing, planning and management of agronomy experiments in the screen house and on-station field for seed yam production using minisetts, mini-tubers, and vine cuttings.
Participate in the design, planning and management of demonstration trials on certified seed yam production in collaboration with PROSSIVAYam Partners in Nigeria and Ghana.
Provide technical backstopping to certified seed entrepreneurs, ware yam farmers, extension workers and Community Research Technicians on implementing demonstration trials for demand creation.
Collect and maintain data on certified seed yam production activities including seed preparation, planting, scoring for diseases and pests, application of agronomic measures, labelling, harvesting, sorting, treating, storage, etc.
Participate in monitoring the activities of PROSSIVA-associated private seed companies and certified seed entrepreneurs working with IITA PROSSIVA team members.
Supervise the activities of daily rated labour on-station.
Report monthly on the progress of planned activities.
Perform any other job-related task as may be assigned by the Supervisor.
QUALIFICATION:
BSc/HND in Crop Science/Soil Science, Seed Science, Botany or any other related field with a minimum of two (2) years’ experience performing a similar role in a well-structured environment with a valid driver’s license.
COMPETENCIES:
The ideal candidate must:
Be experienced in conducting agricultural research experiments.
Be experienced in recording, handling, and processing data from research experiments and report writing.
Have knowledge of Microsoft Word, Excel, PowerPoint, and some experience of using statistical software
Have good interpersonal relationships, good documentation abilities, organizational skills and strong communication skills.
Have ability to work independently and the use of any of SPSS, R, SAS or related statistical tools.
Experience of using digital tools for data entry and knowledge of yam agronomy
Have experience in working with partners in research and extension, as well as farmers.
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