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involve algorithm development, simulation, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working
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the School and Research Centres to deliver high-quality research aligned with the University’s strategic priorities. The role involves undertaking research and development in learning, control and optimisation
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control, and payload operations. Collaboration and impact: Researchers will work closely with EPE Oceania, Lunar Outpost Oceania, and other ELO2 Consortium members to ensure research innovations address
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fellow to be part of the HVL Robotics Research group. The PhD project will target semi-autonomous teleoperation where human inputs and autonomous control commands should merge seamlessly. Teleoperation