Postdoctoral Fellow - Hierarchical Bayesian Modelling of GBR Catchment to Coastal Systems

The Position:

In this Postdoctoral Fellow role, you will be working with scientists from the CSIRO Water for a Healthy Country Flagship to develop statistical methods for modelling Great Barrier Reef (GBR) catchment to coast systems. 

In this position, you will help to improve the environmental management of Australia’s important water ecosystems through the development of statistical methodologies that link mechanistic models with observational data in space and time. Models developed will require a stochastic framework that can address the important science questions regarding system behaviour in the presence of uncertainty. Bayesian hierarchical modelling (BHM) and the construction of emulators embedded within this framework can provide the necessary framework for developing these models. You will be responsible for developing the BHM framework that will house these complex physical processes.

This position will allow you to build your research profile through publications and conference attendance.  It 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 university, industry and government collaborators to deliver project outcomes.  CSIRO provides postdoctoral fellows with a range of training courses including ones focused on scientific paper writing, project management and personal development.

Location:   Brisbane or Canberra, Australia
Salary:     AU$78K - AU$85K per annum plus up to 15.4% superannuation
Tenure: 3 year term
Ref. No:  ACTQ12/04364
Requirements of the successful candidate will include:

• A PhD (or soon to complete a PhD) in a relevant discipline such as statistics, biostatistics, mathematics or a related discipline with strong experience in Bayesian modelling;
• Demonstrated conceptual and practical knowledge and skills in Bayesian hierarchical modelling and Markov Chain Monte Carlo simulation approaches;
• 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;
• 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.

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.

For the full position description, including complete duties and selection criteria, please click on the Position Details ACTQ12/04364 link below.
Applications close 13 January 2013 (11:30 pm ACT time).

Más información en :http://csiro.nga.net.au/cp/index.cfm?event=jobs.jatireturnToEvent=jobs.home&jobID=a1046583-79e6-323d85d2-6e25e93389c1&audienceTypeCode=EXT UseAudienceTypeLanguage=1