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  • Posted: Jan 20, 2026
    Deadline: Not specified
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  • The International Institute of Tropical Agriculture (IITA) is a non-profit institution. that generates agricultural innovations to meet Africa's most pressing challenges of hunger, malnutrition, poverty, and natural resource degradation.
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    Expression of Interest: Individual Consultant - (Computational Modeling)

    Scope of Work / Key Responsibilities

    The consultant will be responsible for, but not limited to, the following:

    • Produce fully refactored and modularized machine‑learning modelling scripts with improved architecture, abstraction, and parameterization.
    • Optimize codebases by removing redundant routines and enhancing computational performance and reproducibility.
    • Generalize modelling workflows to support multi‑crop, multi‑location, and multi‑scenario applications.
    • Integrate empirical modelling frameworks to strengthen predictive performance and model robustness.
    • Incorporate additional spatial covariates to improve explanatory power and computational efficiency.
    • Prototype AI‑enabled or agent‑based agronomic decision‑support workflow integrations to enhance reasoning, automation, and recommendation quality. 
    • Develop comprehensive technical documentation, including annotated code, methodology notes, and workflow descriptions.
    • Prepare periodic progress reports reflecting milestones and technical achievements. 

    Requirements

    Required Qualifications and Experience

    • Advanced degree (master’s or Ph.D.) in Agricultural Systems Modelling, Environmental Modelling, Data Science, Artificial Intelligence or any related discipline.
    • Minimum of five (5) years of relevant professional experience, preferably in forest carbon assessment or ecosystem monitoring.
    • Demonstrated expertise in GIS, remote sensing, carbon accounting and other quantitative methods.    
    • Proven track record of scientific publications in forest inventory and tree carbon assessment.
    • Experience mentoring graduate students, facilitating training, and contributing to capacity building.
    • Strong analytical, communication, and scientific writing skills.
    • Previous experience working with international organizations, donor-funded projects, or research institutions will be an added advantage.

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