A John Stocker postdoctoral fellow position funded by the Science and Industry Endowment Fund (http://www.sief.org.au) exists within CSIRO Mathematics, Informatics and Statistics in Australia. This is one of six postdoctoral fellow positions currently being advertised.
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. 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.
We seek individuals with a PhD (or soon to complete a PhD) in a relevant discipline such as statistics, biostatistics or mathematics with strong experience in Bayesian modelling. Applications from international candidates are welcome and relocation assistance may be provided to the successful candidate. Owing to terms of the fellowship, candidates must be available to commence the role prior to the 30th of June, 2013.
Location: Brisbane, Australia
Salary: AU$78k - AU$85k per annum plus up to 15.4% superannuation
Tenure: 3 year term
More information on the position and a full list of essential and desirable criteria may be found online at http://csiro.nga.net.au/?jati=f29976bf-1322-6378-7888-7654ed6b3208
Closing date for applications is the 3rd of February 2013. Any queries regarding this position can be directed to Dr David Clifford (Esta dirección de correo electrónico está siendo protegida contra los robots de spam. Necesita tener JavaScript habilitado para poder verlo.).
This Postdoctoral position will sit within the Environmetrics, Biometrics, and Bioinformatics Research Group in CSIRO Mathematics, Informatics and Statistics. This Research Group aims to be international leaders in the development and application of innovative statistical and quantitative methodologies for managing the risks associated with the use and protection of Australia's marine, aquatic and terrestrial natural resources, while enabling sustainable economic development and improving agricultural productivity. The Group is unified by its core capability in statistical science and is the largest group of environmental and agricultural statisticians in Australia.