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ADDITIONAL INFORMATION
Please note that all candidates should adhere to FAO Values of Commitment to FAO Respect for All and Integrity and Transparency
IMPORTANT NOTICE: Please note that Closure Date and Time displayed above are based on date and time settings of your personal device
FAOs 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 multistakeholder 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 Postharvesting 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 highquality evidencebased 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
The incumbent will lead economic analyses with a primary focus on applying a Computable General Equilibrium (CGE) model to assess pathways for the sustainable transformation of the livestock sector. The ideal candidate will have demonstrated expertise in developing and applying CGE models in agriculture environmental or related policy contexts particularly in evaluating economywide impacts of productivity shifts environmental regulations and macroeconomic policy changes. Experience with complementary quantitative tools such as econometric analysis costbenefit analysis and marginal abatement cost assessment is a plus. The candidate should be skilled in designing sound empirical strategies interpreting complex model results and clearly communicating findings to both technical and policy audiences. This analytical work will inform sectoral strategies guide investment planning and support evidencebased policymaking for sustainable development in the livestock sector.
Tasks and responsibilities
Consultant/PSA subscribers will:
Develop calibrate and apply CGE models to simulate the economywide impacts of agricultural environmental and livestockrelated policies.
Work with multisectoral datasets including Social Accounting Matrices (SAMs) InputOutput 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 policyrelevant insights contributing to evidencebased policy formulation in livestock and agrifood sectors.
Produce technical reports peerreviewed publications and policy briefs to inform decisionmaking.
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.
At least 2 years of relevant experience in CGE modeling ideally with practical applications in agriculture environment or related sectors.
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
Broad experience in developing and applying CGE models for economic policy and scenario analysis.
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 multisource 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.
Full-Time