This scholarship is for someone with a background in electrical or computer engineering. It will involve investigating a new methodology for target detection and tracking using machine learning.
This research project is to understand how machine learning can be exploited in the areas of target detection and tracking. Develop tracking expertise in a new student who can subsequently work at either at DSTG or in local industry/ academia. Contribute outcomes to a number of relevant projects within defence.
$40,000 per annum for 3 years duration
Applications are now open.
One (1) scholarship available
The candidate will be working on Signal Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience, both orally and written A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners Programming experience and expertise in Python and/or Matlab and/or C++.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Luwaytini' by Mark Cleaver, Palawa.