University Postdoctoral Fellow

University of Adelaide - School of Civil, Environmental and Mining Engineering

  • Prestigious international university.
  • Wide range of employee benefits.
  • Research position in spatial analysis and modelling working on disaster risk reduction planning.

The School of Civil, Environmental and Mining Engineering is one of Australia's leading educators in civil, environmental, and mining engineering; the school offers a stimulating environment in which to work. Recognising the contribution of all staff, the school's leaders are dedicated to providing a rewarding work environment for all.

This role is within a Bushfire & Natural Hazard Cooperative Research Centre (BNHCRC) funded research project. The group has expertise in risk assessment, modelling and uncertainty, stakeholder engagement, scenario planning, optimisation and decision support. The research position is part of an existing project looking at Improved decision support for natural hazard risk reduction (

A primary theme of the BNHCRC project is improving how policy makers across Australia consider disaster risk into the future and how to best reduce the impact of natural hazards. The successful applicant will be required to contribute to project deliverables, which will involve further development of a spatially and temporally dynamic integrated model for long term risk reduction planning, and application of the model to different geographic regions. They will also contribute to the development of new modelling processes – such as an agent based model – through data preparation, analysis, and execution of simulation studies to better understand the dynamics of risk.

Salary: (Level A) AUD $65,894 - $89,425 per annum.

Superannuation: An employer contribution of 9.5% applies.

Term of position: This full-time, fixed-term contract is available immediately for a period of 2 years. Consideration will be given for a part time (0.5 FTE to 0.8 FTE) position for an exceptional candidate(s) meeting all of the selection criteria.

Position requirements

To be successful you should have:

  • Hold or have submitted a PhD in spatial sciences, climate science, civil/environmental engineering, applied statistics, or related discipline.
  • Significant demonstrated experience in the use of ArcGIS (or similar) and (spatial) data analysis, as well as the ability to develop new methods to gain understanding from spatial data and undertake spatial modelling.
  • Demonstrated experience in using other programming or statistical methods to support analysis (e.g. R, Matlab, Python).
  • Excellent written and verbal communication skills with proven ability (existing publication record) to produce high-quality scientific publications and presentations.
  • Excellent organisational skills and a proven record of completing set tasks on time.
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