OverviewAutomated detection of animals using machine learning (AI) from drones and camera traps is creating powerful new opportunities for ecological research. Working as part of a team you will learn how to enable and use automated ID in imagery, use these tools to answer questions around wildlife abundance and interactions and help to shape new research directions. We work with a diverse range of species and you may have the opportunity to work on koalas, kangaroos and other macropods, lions, giraffe and other African species, and pest species such as deer and wild dogs
Research activitiesYou will learn how to annotate images and to use these to answer questions such as the accuracy of detection, the abundance one or more species and interactions between species
OutcomesThe outcome of the project will be a report detailing the methods used and the ecoloical questions addressed
Skills and experienceThe ideal candidate should have a GPA of 5.7 or above, good knowledge of ecology with a deep interest in conservation. Experience in coding (Python), the capability to use or learn R and GIS skills would be highly valuable
You may be eligible to apply for a research scholarship.
Contact the supervisor for more information.