• Make a difference in real-time flood forecasting
• Develop innovative solutions to real-world problems
• Broaden and enhance your research capability and build your academic profile

In this Postdoctoral Fellow role, you will use and develop statistical methodology to forecast flood inundation with spatial distribution of flood water depths beyond the river, which is very important for various emergency agencies and risk management. You will closely collaborate with statisticians, hydrologists, hydrodynamic modellers and clients developing innovative solutions to real-world problems as well as publish scientific research papers in peer reviewed journals and conferences.

You will also have the opportunity to broaden and enhance your research capability with a clear goal of real time flood forecasting and build your academic profile through publications in the academic literature and presentation at national and international conferences. CSIRO will provide a structured training program covering the further development of discipline knowledge and research skills, as well as research planning, research management and research communication skills. 

This exciting position provides the opportunity for you to:

• Join multidisciplinary team of statisticians, hydrologists and hydrodynamic modellers working to address challenging problems in water sciences.
• Explore and test advanced statistical methodologies in both frequentist and Bayesian domain for real world issues
• Develop new statistical methodologies to deliver innovative solutions for the analysis of the large, complex spatial-temporal datasets from hydrological dynamic models
• Enhance your research capability and skills in order to be better able to pursue a career in science, either within CSIRO or beyond 

Location: Perth, Western Australia 
Salary: AUD81K-AUD88K plus up to 15.4% superannuation 
Tenure: 3 year term
Ref No.: WA14/00285 

Pre-requisite: PhD in statistics or PhD in science/engineering with statistics component/major. The successful appointee must have completed, or will shortly complete, the requirements for a PhD degree in a relevant scientific discipline. Owing to terms of the fellowship, candidates must not have more than 3 years of relevant Postdoctoral experience.

You will also have:

• Demonstrated knowledge of statistics or hydrology and a track record in statistical analysis of applied data sets to solve complex problems
• Evidence of well-developed written and oral communication skills, with the ability to communicate difficult statistical concepts to non-quantitatively trained stakeholders
• Evidence of well-developed interpersonal skills
• A strong CV for a recent PhD graduate
• Demonstrated ability to achieve results
• Experience or interest in spatio-temporal modelling; and catchment hydrology, flood hydrodynamics and hydrological/hydrodynamic modelling desirable.

About CSIRO: Australia is founding its future on science and innovation. Its national science agency, CSIRO is a powerhouse of ideas, technologies and skills for building prosperity, growth, health and sustainability. It serves governments, industries, business and communities across the nation. Find out more! www.csiro.au 

At CSIRO Computational Informatics (CCI), we apply information intensive sciences to answer important questions from medical research to environmental monitoring and industrial processing: http://www.csiro.au/org/CCI.html

Applications close 11.30pm AEST on 3 March 2014.

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