National Crop and Statistical Modelling Expert
About the role
The National Crop and Statistical Modelling Expert will provide technical expertise for the design, development, calibration, validation, and operationalization of crop growth, yield, and production forecasting models for paddy and maize in Sri Lanka. The role involves agricultural data assessment, model development, calibration, validation, crop damage assessment, multi-source data integration, stakeholder engagement, capacity building, and technical documentation. The position is part of the CROPIX-AI initiative under the FAO Representation in Sri Lanka, working closely with government institutions and technical stakeholders to improve agricultural forecasting and data integration. Candidates must have an advanced university degree in a relevant field, at least 8 years of professional experience in crop modelling or related disciplines, and be fluent in English and either Sinhala or Tamil. The role is based in Kandy, Sri Lanka, and is offered as a Personal Services Agreement for 60 WAE days.
Must have
- Advanced university degree (Master’s degree or higher) in Agricultural Sciences, Agronomy, Crop Science, Agricultural/Biosystems Engineering, Statistics, Agricultural Economics, Data Science, Applied Mathematics, Computer Science, Remote Sensing, Environmental Science or another closely related field.
- Minimum of 8 years of relevant professional experience gained in crop modelling, agricultural forecasting, agricultural statistics, or a closely related discipline.
- Working knowledge of English (C1). Working knowledge of Sinhala and/or Tamil is required.
- National of Sri Lanka or resident of the country with a valid work permit.
Technologies
- Data Pipelines
- Data Science
- Feature Engineering
- Machine Learning
- Python
- Statistics
Highlights
Applicants must be nationals of Sri Lanka or residents with a valid work permit. The application deadline is 13 November 2026, 3:59 AM. The position is a non-staff opportunity under a Personal Services Agreement (PSA) and is based in Kandy, Sri Lanka. FAO encourages applications from women, nationals of under-represented members, and persons with disabilities.
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