First listed on: 26 March 2020
Mathematical Modeller 

APS Level 4/5-6 (S&T Level 3-4)
$67,100 - $92,150 (plus super)
Fishermans Bend, VIC 

DST, Land Division are looking for an enthusiastic and motivated mathematical modeller for disease surveillance and epidemic forecasting to join our Bioterrorism Preparedness Strategic Research Initiative team.  As a member of the team you will be required to perform innovative and award winning research into disease surveillance and epidemic modelling, with the goals of developing software tools for: 

  • The early detection of disease outbreaks and biological attacks.
  • Forecasting disease outbreaks of Defence and public health concern.
  • Providing decision support tools for the control of epidemics/pandemics.
  • Modelling disease outbreaks to inform military preparedness. 

As a member of the Bioterrorism Preparedness Strategic Research Initiative team you will collaborate closely with leading Australian and international universities, as well as partnering with defence S&T agencies in allied nations.

Duties and Key Result Areas:

  • Contribute to R&D into epidemic modelling and early warning algorithms. This will involve a combination of mathematical modelling, programming and data analysis.
  • Work with stakeholders in Defence and public health to understand their needs, as well as the properties of available datasets.
  • Collaborate with researchers in academia and allied defence research agencies on common goals for infectious disease outbreak control and management.
  • Work with the team to provide advice to Government based on epidemic modelling.
  • Support defence exercises involving disease outbreak scenarios.
  • Demonstrated ability to shape and execute an R&D program in support of client outcomes.  

Position Duties:

  • Demonstrated capability in mathematical modelling, statistics and probability theory.
  • Ability to apply those capabilities to epidemic modelling and simulation, with Python, R or MATLAB.
  • Demonstrated ability to shape and execute an R&D program in support of client outcomes.

Application Closing Date: Thursday 9 April 2020                     

For further information please review the job information pack, reference DST/01083/20 on


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