Livestock Computable General Equilibrium (Cge) Modeler

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Job Posting: 13/May/2025 Closure Date: 10/Jun/2025, 4:59:00 PM Organizational Unit: NSAL Job Type: Non-staff opportunities Type of Requisition: Consultant / PSA (Personal Services Agreement) Grade Level: N/A Primary Location: Italy-Rome Duration: 11 months Post Number: N/A IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device
- FAO is committed to achieving workforce diversity in terms of gender, nationality, background and culture.
- Qualified female applicants, qualified nationals of non-and under-represented Members and person with disabilities are encouraged to apply;
- Everyone who works for FAO is required to adhere to the highest standards of integrity and professional conduct, and to uphold FAO's values
- FAO, as a Specialized Agency of the United Nations, has a zero-tolerance policy for conduct that is incompatible with its status, objectives and mandate, including sexual exploitation and abuse, sexual harassment, abuse of authority and discrimination
- FAO’s commitment to environmental sustainability is integral to our strategic objectives and operations._ **Organizational Setting** The Animal Production and Health Division (NSA) assists FAO members in the development of sustainable livestock systems. It hosts intergovernmental bodies, multi-stakeholder initiatives and knowledge networks that provide information and technical and policy support to development efforts, including emergency preparedness and response. The Division has expertise in animal health (One Health), animal production and genetics, and livestock sector analysis and policy. The assignment is within the Livestock Innovation, Climate and Post-harvesting Solutions Branch (NSAL),



which conducts policy analyses to support technical and policy interventions aimed at achieving sustainable livestock development across social, economic, and environmental dimensions. The incumbent will work within the Livestock Policy Lab (LPL) that provides high-quality, evidence-based analytical support to national, regional, and global policy processes and initiatives focused on sustainable livestock transformation. **Reporting Lines** Under the overall supervision of the Chief, NSAL, the direct supervision of the LPL Policy Officer and in collaboration with FAO colleagues, the incumbent will contribute to FAO Strategic Objectives. **Technical Focus** **Tasks and responsibilities** Consultant/PSA subscribers will: - Work with multi-sectoral datasets, including Social Accounting Matrices (SAMs), Input-Output tables, livestock health data, and environmental indicators.
- Integrate livestock production systems, environment, and health dynamics, such as antimicrobial resistance, disease outbreaks, and methane emissions into CGE modeling framework.
- Translate model outputs into policy-relevant insights, contributing to evidence-based policy formulation in livestock and agrifood sectors.
- Produce technical reports, peer-reviewed publications, and policy briefs to inform decision-making.
- Provide additional analytical or technical support as required, in line with evolving project needs and priorities.



**CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING** **Minimum Requirements depending on the profile and orientation**
- Advanced university degree in economics, agricultural economics, environmental economics, development economics, or a closely related field, with a strong background in quantitative policy analysis.
- Demonstrated proficiency in the use of GAMS for CGE modelling and simulation.
- Working knowledge of English (Level C) **FAO Core Competencies**
- Results Focus
- Teamwork
- Communication
- Building Effective Relationships
- Knowledge Sharing and Continuous Improvement **Technical/Functional Skills**
- Understanding of livestock systems, including feed use, emissions, trade dynamics, and disease resilience.
- Skilled in analyzing economic and environmental impacts of livestock production and trade policies, including simulating policy shocks (e.g., subsidies, disease control, trade restrictions) on productivity and markets.
- Proficient in constructing and adjusting SAMs, and integrating multi-source data (livestock, trade, household) into economic models.
- Advanced use of GAMS and familiarity with R, Python, or Stata is a plus.
- Experience in analytical writing supported by a publication record in peer review journals. **ADDITIONAL INFORMATION**
- Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list
- For more information, visit the FAO employment website **HOW TO APPLY**
- To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills **FAO IS A NON-SMOKING ENVIRONMENT

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