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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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Requirements: PhD degree in Computer Science, Mechatronics, Robotics, Electrical Engineering or equivalent. Proficiency in programming, software design and development and algorithms. Strong analytical
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), Power Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part
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. About you Reporting to the Associate Professor, Mechatronics and Project Lead, you will work as a key part of the research team using your expertise in mobile robot navigation and control engineering. You
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Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part of
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
&PEWER_Level B_Research Fellow_CSS_2025.pdf We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative
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Australian National University | Canberra, Australian Capital Territory | Australia | about 1 month ago
Engineering, Mechatronics. Join us in our fundamental quest of discovery and passionate pursuit of knowledge that goes beyond our lived world. About the Lab CIICADA (Control, Information, Intelligence
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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