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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
Integrated Planning & Learning and Reinforcement Learning in non-deterministic and partially-observed scenarios. The methods will be evaluated on physical robots. The ideal candidate would have: A PhD (or
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seismic oceanography—similar to bat echolocation—to capture water column structures at unprecedented resolution. Data were gathered using sound pulses, underwater robotics, drifters, floats, and moored
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Engineering, or related disciplines, preferably a PhD in Mechatronics/Robotics Knowledge of kinematic, static, and dynamic analysis, and control solutions related to continuum robots Strong evidence of
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present at professional conferences. Mentor and supervise graduate and undergraduate students working on space robotics. Minimum Requirements PhD in Aerospace Engineering, Mechanical Engineering, Electrical
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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of identifying excellent researchers and accelerating them in using AI to advance and disrupt Science or Engineering. Here ‘AI’ is interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics
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of Liverpool, you will have a key role in one of the forerunner projects of AlChemy, namely “Human in the Loop”, which aims at integrating cutting-edge AI technologies with Robotics in accelerating the discovery
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UiO/Anders Lien 24th July 2025 Languages English English English PhD Research Fellow in Machine Learning/Artificial Intelligence Apply for this job See advertisement About the position Position as
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interpreted very broadly, e.g.: topics in Bayesian Inference and Robotics; ‘Science’ covers any typical topic in Natural Science and Engineering (Epidemiology, Biology and basic science in biomedicine
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. Job Requirements: PhD in Electrical and Electronic Engineering, Computer Engineering / Science, or related field Expertise in robotic system Familiar with ROS1 / ROS2 Good publication track record is an