drjobs Livestock Computable general equilibrium (CGE) Modeler

Livestock Computable general equilibrium (CGE) Modeler

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1 Vacancy
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Job Location drjobs

Rome - Italy

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

CALL FOR EXPRESSIONS OF INTEREST VACANCY ANNOUNCEMENT:

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
Candidates are requested to attach a letter of motivation to the online profile
Once your profile is completed please apply and submit your application
Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work character education military and police records to ascertain any and all information which may be pertinent to the employment qualifications
Incomplete applications will not be considered
Personal information provided on your application may be shared within FAO and with other companies acting on FAOs behalf to provide employment support services such as prescreening of applications assessment tests background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time by withdrawing your application in such case FAO will no longer be able to consider your application
Only applications received through the FAO recruitment portal will be considered
Your application will be screened based on the information provided in your online profile
We encourage applicants to submit the application well before the deadline date.

If you need help or have queries please create a onetime registration with FAOs client support team for further assistance: IS A NONSMOKING ENVIRONMENT

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.

Employment Type

Full-Time

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