Livestock Agent Based Modeller (Roma)

Livestock Agent Based Modeller (Roma)

22 ago
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Fao
|
Roma

22 ago

Fao

Roma

Job Posting: 02/May/2025 Closure Date: 30/May/2025, 4:59:00 PM Organizational Unit: NSAL - Livestock Innovation, Climate and Post-harvesting Solutions Branch 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 Information, Sector Analysis and Policy Branch (NSAL).



NSAL provides information services and carries out analysis in support of technical and policy interventions towards sustainable livestock, focusing on social, economic and environmental goals. The incumbent will be located within the Livestock Policy Lab (LPL) in NSAL. The LPL provides evidence-based analytical support to national, regional and global policy processes and initiatives related to sustainable livestock. **Reporting Lines** Under the overall supervision of the Chief, NSAL, the direct supervision of the Livestock Economist Policy Officer and in collaboration with FAO colleagues, the incumbent will contribute to FAO Strategic Objectives. **Technical Focus** The incumbent will contribute to the design and implementation of an integrated modelling framework for assessing methane mitigation strategies in the dairy sector, with a particular focus on Agent-Based Modelling (ABM). The role involves simulating the behavior of heterogeneous agents—such as farmers, input suppliers, and regulators—and evaluating how their interactions influence the adoption and effectiveness of low-carbon technologies under varying policy and economic scenarios. The model will be used to generate insights into adoption dynamics, structural and behavioral barriers, and the system-wide impacts of mitigation strategies. **Tasks and responsibilities** Consultants and PSA subscribers will:



- Design and implement an ABM to simulate the adoption and diffusion of methane mitigation technologies in the dairy sector.
- Develop behavioural rules for different types of agents, incorporating economic, social, and institutional drivers.
- Integrate farm-level technical and economic data into the ABM framework, using inputs from existing models where relevant.
- Conduct scenario analyses to evaluate the system-wide effects of policy interventions on technology uptake and emission outcomes.
- Contribute to the drafting of technical reports and policy briefs based on ABM results, aimed at informing decision-making on sustainable livestock transformation. **CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING** **Minimum Requirements depending on the profile and orientation**
- Advanced university degree in economics, environmental economics, agricultural economics, bioeconomy, or a related field. A first level degree with 2 years of additional experience in economics, environmental economics, agricultural economics, bioeconomy, or a related field.
- At least one year of relevant experience for COF in livestock economic modelling. For PSAs at least one year of experience in livestock economic modelling with a first level university degree.
- Working knowledge of English **FAO Core Competencies**
- Results Focus
- Teamwork
- Communication
- Building Effective Relationships
- Knowledge Sharing and Continuous Improvement **Technical/Functional Skills**
- Familiarity with modelling platforms such as NetLogo, AnyLogic, Repast, GAMA, Mesa, or similar agent-based modelling environments.
- Experience in incorporating behavioural, institutional, or spatial dimensions into simulation models.
- Capacity to translate model outputs into policy-rele

📌 Livestock Agent Based Modeller (Roma)
🏢 Fao
📍 Roma

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