The International Institute of Tropical Agriculture seeks suitable applicants for the position below at the Institute\u2019s headquarters in Ibadan.
Position: Research Supervisor
Duration: 6 months\u2019 renewable
Location: Ibadan
Closing Date: 13 June 2024
DUTIES:
Generate calibration data for rapid, non-destructive estimation of dry matter and starch content using IoT devices developed under the NESTLER project. Develop statistical models to relate laboratory measurements with instrument measurements preferable using machine-learning approaches. Deploy IoT devices in breeding trials, cassava processors and farms to scale the technology and generate field-based validation data. Support implementation of pilot experiments involving deployment of weather and soil sensing stations at strategic locations in IITA cassava field trials in Nigeria. Specific activities related to this are: Sensing Station Setup to measure key environmental parameters relevant to cassava cultivation (rainfall, temperature, humidity, solar radiation, and soil moisture content). Automate data collection through use of mobile network to enable a time-series dataset for analysis. Integrating farm-level data from the research farms, such as planting methods, fertilizer usage, pest and disease management, and other relevant factors that may impact cassava yield. Data analysis and model development using statistical analysis techniques and machine learning algorithms to identify patterns, correlations, and interactions between the environmental variables and cassava yield. Model validation and iterative improvement to assess its accuracy and reliability. Contribute to other project activities including preparing reports, participation in project meetings, preparing communication materials. Perform any other job-related task as may be assigned by the Supervisors.
Requirements
QUALIFICATION:
BSc/HND in Plant Breeding, Agronomy or any other related field with a minimum of three (3) years\u2019 experience performing a similar role in a well-structured environment.
COMPETENCIES:
The ideal candidate must:
Be experienced in the use of statistical analysis techniques and database software. Be experienced in data analysis and interpretation. Be experienced in report writing.Benefits
We offer highly competitive salary with equally attractive benefits and excellent working conditions in a pleasant campus environment.