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AI for wildlife conservation

Automated 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, …

Study level
Master of Philosophy, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

Vegetation modelling for wildlife conservation and bushfire monitoring

Modelling vegetation using video captured from drones is a valuable component of conservation. Working as part of a team you will use existing imagery to create detailed vegetation models for ecological analysis. You will then use these models to address important questions around the impacts of bushfires and interactions between vegetation and wildlife.

Study level
PhD, Master of Philosophy, Vacation research experience scheme
Faculty
Faculty of Science
School
School of Biology and Environmental Science
Research centre(s)

Centre for the Environment

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