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CSIRO Postdoctoral Fellow - Computational Modelling of Natural Hazards

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  • An exciting opportunity to conduct novel research with real-world impact
  • Use your modelling expertise to help predict natural hazards and potentially save lives
  • Join CSIRO and kick-start your research career

The Position

CSIRO offers PhD graduates an opportunity to launch their scientific careers through our Postdoctoral Fellowships. These fellowships provide experience that will enhance career prospects and facilitate the development of potential leaders for CSIRO.

Data61 in collaboration with CSIRO Oceans & Atmosphere, is seeking to appoint a highly motivated Postdoctoral Fellow with expertise in meteorology and down-scaling of climatic models with associated skills in uncertainty modelling and analysis, to work at the interface between three key scientific disciplines namely 1) physics based modelling of natural hazards, 2) meteorology and 3) statistics, to develop algorithms and methodologies that are able to provide well developed processes to address the key scientific challenges in being able to predict weather systems and translate them into meaningful spatio-temporal representations to reduce/eliminate fatalities, and reduce the economic and social damage caused by natural hazards such as wildfires and flash floods.

Specifically you will be expected to lead the following investigations:

  • Application of the Conformal Cubic Atmospheric Model (CCAM) for a series of numerical experiments that are focussed on an analysis of the resolution requirements for predictability of localised natural hazard events.
  • Development of sophisticated statistical models that can provide appropriate uncertainty metrics able to reconcile with the dual uncertainties associated with weather models and spatio-temporal physical models for flood and fire spread predictions.
  • Evaluation of RADAR based weather data as a mechanism for validating the outputs from CCAM as well as to understand the effectiveness of such outputs for the spatio-temporal prediction of hazard metrics for flash flood and fire events.

Location:      Clayton, Melbourne VIC

Salary:          AUS$81K - AUS$88K plus up to 15.4% superannuation

Tenure:         Specified term of 3 years

Reference:   38381

To be successful you will need:

  • A doctorate (or will shortly satisfy the requirements of a PhD) in a relevant discipline area, such as Applied Mathematics, Physics or Engineering with a strong computational modelling focus.
  • Demonstrated experience in modelling complex environmental/atmospheric systems. This will include managing data, such as netcdf from CCAM.
  • Demonstrated strong experience in programming using Fortran, C and/or C++ .
  • A track record of excellence in research output demonstrated through scientific publications, research reports and scientific code development.

Owing to terms of the fellowship, candidates must have no more than 3 years full-time postdoctoral research experience.

Who we are: The Commonwealth Scientific and Industrial Research Organisation (CSIRO)

AT CSIRO WE INVENT THE FUTURE - We do this by using science and technology to solve real issues. Our solutions make a difference to industry, people and the planet.

As Australia’s national science agency, we’ve been pushing the edge of what’s possible for almost 90 years. Today we have thousands of talented people working across Australia and internationally. Our people work closely with industry and communities to leave a lasting legacy. Collectively, our innovation and excellence places us in the top ten applied research agencies in the world. - WE COLLABORATE TO INNOVATE

How to Apply: Please upload one document only containing both your CV/Resume and cover letter providing enough information relevant to this position to enable the selection panel to determine your suitability. If your application proceeds to the next stage you may be asked to provide additional information.

Before you apply, please view the full position details and selection criteria click here: Position Details document

Applications Close: 11:59pm AEST, Sunday 28 May 2017

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