Overview
This position contributes to FAO's collaborative efforts to generate data that can be used to strengthen the impact potential of school meals programmes from design to implementation.
Key Responsibilities
- Analyses relevant technical social, economic, environmental, and technology information, data and/or statistics for input in various documents.
- Maintains records and updates databases and web pages.
- Provides technical support to various projects.
- Collaborates in the development of training tools and materials and the organization of workshops/seminars, etc.
- Participates in the organization and follow-up of meetings, consultations and conferences, the production of required materials and the provision of information and assistance to partners.
- Compiles and reviews existing methodological approaches, tools, and indicators, related to school meal nutritional quality assessment.
- Supports the development of research proposals and survey protocols.
- Supports the development of guidelines and adaptation of standardized data collection tools (e.g. nutrition guidelines analysis, menu analysis, procurement tracking).
- Supports data collection with multiple partners.
- Supports data consolidation, cleaning, validation, and documentation of data collection processes.
- Contributes to the design of standardized data collection protocols, including sampling approaches and data collection instruments.
- Assists in piloting and field-testing data collection protocols and tools in selected countries.
- Supports coordination with partners and networks engaged in data collection activities on the nutritional quality of school meals.
Required Experience
- One year of relevant experience in nutrition research and data collection and analysis, particularly in the design, implementation, analysis and publication of quantitative surveys.
- Work experience in more than one location or area of work, particularly in field positions, is desirable.
- Research experience related to school meals is an asset.
- Extent and relevance of experience in collecting, analysing and summarizing technical information and data.
- Experience in research design and data collection in field settings across multiple contexts is considered an asset.
Qualifications
- Advanced university degree (Master's degree or equivalent) in nutritional sciences, nutritional epidemiology, or a related field.
- A PhD would be an asset.
