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: Prof David Lewis and A/Prof Phil van Eyk School of Chemical Engineering School of Chemical Engineering Email: david.lewis@adelaide.edu.au ; philip.vaneyk@adelaide.edu.au Applying: Expression of
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research trends Develop new algorithms, either directly or via programs of research to be conducted by our APPN nodes Create and maintain a list of approved trait algorithms that are agreed by all APPN Nodes
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AI/ML for Object Tracking and Sensor Fusion, you will develop next-generation algorithms that power intelligent aerial systems—enabling real-time object tracking, multi-sensor data fusion, and
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models through specific activation functions. This project will be undertaken in collaboration with Dr Hemanth Saratchandran and Prof Simon Lucey of the Australian Institute for Machine Learning, and
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or condensed matter physics, with a willingness to engage in experimental applications. The successful applicant will also be involved in the design, fabrication and measurement of quantum sensors in the Jesper
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Lucey, and AIML Chief Scientist, Prof Anton van den Hengel, their research team, and CommBank representatives to publish high-impact research and develop innovative AI solutions for the financial sector
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platforms). The successful candidate will contribute their unique skills in analysing complex data from RGB, hyperspectral or LiDAR sensors to extract information about plant structure, biochemical and
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, or spatial relationships of objects—and to indicate when it is unsure about its input. Key expected outcomes include the creation of monitoring algorithms that identify early signs of performance issues, and
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group to work on a project developing provable network security methods that use higher-order graph-based abstractions to model networks and network security problems. Scalable algorithms developed
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the right to close this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Assoc Prof Katrina