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Agricultural Economist and Modeller

Date: 05-Aug-2019

Location: Brisbane, QLD, AU

Company: CSIRO

 

  • Are you an experienced and resourceful Agricultural Economist and Modeller?
  • Contribute to our transition towards more environmental sustainable practices
  • Join CSIRO – Australia’s premier science & technology research organisation

 

CSIRO is looking to recruit a resourceful Agricultural Economist and Modeller to contribute to innovative research in integrated and multi-disciplinary assessments of the Australian and Global Food Systems, initially around issues of climate variability and trade. This individual will be part of a multi-disciplinary team that will explore issues of the role Australia may play in the future to achieving a more sustainable food system domestically and abroad.

 

Your duties will include

  • Work with a range of national and external partners in the improvement and development of computable general equilibrium (CGE) models as well as other economic modelling methods to better represent the agriculture and land sectors in integrated assessments at the national and global level.
  • Contribute to the ex-ante analysis of global and Australian agricultural futures and impacts of international and national trends on Australian agricultural production and trade, as well as broader impacts to the economy and environment.
  • Coordinate with existing modelling expertise across CSIRO Agriculture and Food and elsewhere as part of a multi-disciplinary research team working on the economics, productivity and sustainability of farming systems in Australia and abroad.
  • Contribute to economic modelling and integrated economic and biophysical analysis of global food systems and the environment across CSIRO.
  • Incorporate novel approaches to scientific investigations by adapting and/or developing original concepts and ideas for new, existing and further research.

 
Location: St Lucia, QLD
Salary: $98,000 to $106,000 plus up to 15.4% Superannuation
Tenure: Specified term until 30 June 2022
Reference: 61685
 
To be successful you will need
 
Essential Criteria:

  • A doctorate and or equivalent research experience in a relevant discipline area, such as agricultural economics, economic modelling, or impact assessment
  • Significant knowledge of macroeconomic modelling methods and tools, specifically global GTAP based computable general equilibrium (CGE) models and their application to the global food system including but not limited to:
    • Multi-disciplinary and multi-scale analysis of the global food system and its impacts on the environment and society including impacts on agricultural production, trade, and demand
    • Modelling climatic impacts and other risks to the global food system, particularly around issues of climate/weather variability and extreme events
  • Experience using, maintaining, and developing modules for economic analysis, including data processing and data reconciliation techniques.
  • Experience coding in GEMPACK, or demonstrated capacity and willingness to learn GEMPACK

 
For details about who to contact and for more information please view Position Description
 
CSIRO’s Commitment to Diversity
We’re working hard to recruit diverse people and ensure all our people feel supported to do their best work and empowered to let their ideas flourish. D&I
 
Flexible Working Arrangements
We work flexibly at CSIRO, offering a range of options for how, when and where you work. Talk to us about how this role could be flexible for you. Balance
 
About CSIRO
At CSIRO you can be part of helping to solve big, complex problems that make a real difference to our future. We spark off each other, learn from each other, trust each other and collaborate to achieve more than we could individually in a supportive, rewarding, inclusive and truly flexible environment. 
 
Apply Online
To apply online, please provide a CV and cover letter outlining your suitability and motivation for the role.
 
Applications Close 
Wednesday 4 September 2019
We reserve the right to withdraw this ad prior to the closing date

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