Research Supervisor at IITA - International Institute of Tropical Agriculture

Job Overview

Location
Lagos, Oyo
Job Type
Full Time
Date Posted
1 year ago

Additional Details

Job ID
89859
Job Views
97

Job Description



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’ 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.


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