Your expertise in Bayesian hierarchical modelling will complement existing skills being used as part of this project including simulation modelling of agriculture systems and spatial and computational statistics. You will be responsible for creating a framework to marry deterministic complex systems modelling with advanced statistical techniques to allow for the partitioning of uncertainties between different drivers of GHG emissions - thus identifying where in the process the greatest impacts on GHG emissions can be made.
This project lies within an area rich in computational and methodological research challenges which will provide you with rewarding postdoctoral experience. In this position you will be given opportunities to develop innovative solutions to real problems and apply them to a project of global relevance. You will build your research profile through publications and conference attendance. The position will also provide you with a range of opportunities and experiences to build your capacity as a researcher. This includes working as part of a multi-disciplinary team, with international, industry and government collaborators to deliver project outcomes.
This postdoctoral fellowship, funded by the Science Investment Endowment Fund, provides postdoctoral fellows with a range of training courses including ones focused on scientific paper writing, project management and personal development. This postdoctoral fellowship comes with AU$30K additional funding each year from CSIRO to cover operating, travel (i.e. conferences, visits to Dr Wallach of INRA) and training, including thecourses mentioned above.
Location: Dutton Park, Brisbane, Australia
Salary: AU$81K - AU$88K per annum plus up to 15.4% superannuation (effective 4th July 2013)
Tenure:3 year term
Ref. No: Q13/01875