We are seeking a PhD student for an exciting, industry-funded project aimed at understanding how fire regimes influence wildlife in semi-arid Victoria. The project is expected to begin in mid-2019.
The project will use new automated methods alongside traditional methods to sample mammal, reptile and amphibian communities across a chronosequence of fire age-classes in each of two major vegetation types (lowan mallee and heathland sands) in the Victorian mallee (Big Desert and Little Desert national parks). The candidate will work closely with machine-learning experts to develop and implement automated data processing methods.
The project is funded and supported via the Victorian Department of Environment, Land, Water and Planning and the Bushfire and Natural Hazards Cooperative Research Centre, and will also involve close collaboration with research partners at La Trobe University.
For more information and to submit an expression of interest, please contact me.
Your expression of interest should include a CV and up to two pages that specifically address the following selection criteria:
- Strong, strong first-class honours degree or equivalent at an Australian university or recognised overseas university.
- Must be able to work independently as well as in a team and show a high level of initiative and collaboration.
- Field experience (ideally in remote locations) in wildlife survey and ecology.
- GIS, statistical (program R) and modelling experience will also be very advantageous.
- Must have a current, manual driver’s license.
Expressions of interest close Tuesday 30 April 2019.