Livestock Agent Based Modeller
Livestock Agent Based Modeller
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Job Description
ADDITIONAL INFORMATION
- FAO does not charge any fee at any stage of the recruitment process (application interview processing)
- Please note that FAO will only consider academic credentials or degrees obtained from an educational institution recognized in the IAU/UNESCO list
- Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED) a list updated by the International Association of Universities (IAU) / United Nations Educational Scientific and Cultural Organization (UNESCO). The list can be accessed at informationvisit the FAO employment website
- Appointment will be subject to certification that the candidate is medically fit for appointment accreditation any residency or visa requirements and security clearances.
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
- FAO is committed to achieving workforce diversity in terms of gender nationality background and culture.
- Qualified female applicants qualified nationals of nonand underrepresented 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 FAOs values
- FAO as a Specialized Agency of the United Nations has a zerotolerance policy for conduct that is incompatible with its status objectives and mandate including sexual exploitation and abuse sexual harassment abuse of authority and discrimination
- All selected candidates will undergo rigorous reference and background checks
- All applications will be treated with the strictest confidentiality
FAOs commitment to environmental sustainability is integral to our strategic objectives and operations.
CALL FOR EXPRESSIONS OF INTEREST VACANCY ANNOUNCEMENT:
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 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 evidencebased 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 AgentBased Modelling (ABM). The role involves simulating the behavior of heterogeneous agentssuch as farmers input suppliers and regulatorsand evaluating how their interactions influence the adoption and effectiveness of lowcarbon technologies under varying policy and economic scenarios. The model will be used to generate insights into adoption dynamics structural and behavioral barriers and the systemwide 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 farmlevel technical and economic data into the ABM framework using inputs from existing models where relevant.
Conduct scenario analyses to evaluate the systemwide 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 decisionmaking 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
Extent and relevance of experience in the design and application of AgentBased Models preferably in agriculture livestock or natural resource management.
Familiarity with modelling platforms such as NetLogo AnyLogic Repast GAMA Mesa or similar agentbased modelling environments.
Experience in incorporating behavioural institutional or spatial dimensions into simulation models.
Capacity to translate model outputs into policyrelevant insights and communicate findings to both technical and nontechnical audiences.
Knowledge of the political economy of agricultural systems and ability to analyse barriers to adoption and system transformation.
Experience in analytical writing supported by a publication record in peerreviewed journals.
HOW TO APPLY
If you need help or have queries please create a onetime registration with FAOs client support team for further assistance: IS A NONSMOKING ENVIRONMENT
Required Experience:
Unclear Seniority
Employment Type
Full-Time
