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John Stocker Postdoctoral Fellowship
CSIRO

CSIRO Mathematics, Informatics and Statistics

Closing date: 3rd February 2013

John Stocker Postdoctoral Fellowship : Quantifying and reducing uncertainty in biophysical models for agricultural green house gas mitigation

  • Prestigious Postdoctoral Fellow opportunity
  • Be involved in developing innovative solutions to real-world problems and enjoy outstanding career development and professional support
  • Join CSIRO - Australia's premier scientific research organisation

The Position

Reversing carbon losses and reducing nitrous oxide emissions from soil in agricultural lands are important components of global greenhouse gas (GHG) mitigation strategies. In this Postdoctoral Fellow role, you will be working with scientists from CSIRO’s Sustainable Agriculture Flagship in collaboration with Dr Daniel Wallach of the Institut National de la Recherche Agronomique (INRA) in France to quantify and partition the sources of uncertainty in models that simulate soil-plant- climate interactions. These models are being developed to estimate the soil GHG emissions and the potential for managing these emissions.

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.

Location: Dutton Park, Brisbane, Australia
Salary: AU$78K - AU$85K per annum plus up to 15.4% superannuation
Tenure: 3 year term
Ref. No: Q12/05096

Requirements of the successful candidate will include:

  • A PhD degree (or shortly to complete) in a relevant scientific discipline such as statistics, biostatistics or mathematics with strong experience in Bayesian modelling;
  • Excellent computing skills and proficiency with statistical packages such as R or Matlab and numerical packages such as C or C++, including the ability to program new methods;
  • Experience with applying your computing skills in large multi-core computing environments and proficiency in operating across multiple computing platforms and software environments;
  • Strong written and oral communication skills including the ability to publish research results and make scientific presentations to audiences with scientific and non-scientific background.

For further information and to apply, click on http://csiro.nga.net.au/?jati=f29976bf-1322-6378-7888-7654ed6b3208 or go to http://www.csiro.au/careers click on Positions Vacant and enter reference number Q12/05096.

Applications close 3 February 2013 (at 11:30 pm local (Queensland) time).



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