Two domestic PhD students are sought to undertake a project with the Bureau of Meteorology.

Project Title: Fire Atmosphere Modelling

Duration: 6 Months

Location: Adelaide, Melbourne, Brisbane and other locations considered

Research to be conducted:

The key deliverables on the project are case studies of five significant bushfires using the coupled fire-atmosphere model ACCESS-Fire. The project is supported by the Bushfire and Natural Hazards Cooperative Research Centre and will be coducted in partnership with fire agencies in several states. The project has an inflexible time line and must be completed by 30 June 2021. ACCESS-Fire will be run on five fires: Yanchep (WA), Kangaroo Island (SA), Badja (NSW), Cooryong (Vic) and Stanthorpe (QLD).

The intern will assist with managing the large datasets (on NCI) and plotting and analysing the output, including multiple fields, derived parameters, spatial and temporal plots, cross sections and animations. Plots will be required in a format suitable for publication.

Skills wish list:

If you’re a PhD student and meet some or all the below we want to hear from you. We strongly encourage women, indigenous and disadvantaged candidates to apply:

  • Excellent skills with python coding
  • Excellent skills with manipulation and visualisation of large datasets
  • Good problem-solving skills
  • Good communication skills
  • Knowledge of meteorology and fire behaviour (or strong interest and appetite to learn)
  • Strong interpersonal and collaboration skills

Research Outcomes:

The intern will develop familiarity with the output of the ACCESS NWP system and run and modify available conversion scripts to reshape ACCESS output files (to .nc or equivalent).

Output will be visualised using various methods, including time series, multiple parameters, temporal and spatial scales, vertical levels (pressure, height, sigma) and cross sections.

If time permits, it is desired to develop three-dimensional trajectory animations of model output using appropriate visualisation tools.

The intern will work closely with the other members of the project team to decide on optimal approaches to data analyses and must be flexible with exploring different display approaches and testing and refining analysis tools.  Manipulation and display of observational data may also be required, including displaying combinations of spatial datasets from different platforms.

To apply and for more information visit:

The closing date for applications is 9 December.



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