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) and hardware integration. Knowledge of machine learning, reinforcement learning, or vision-language models for robotics is a plus. Hands-on experience with robotic arms (e.g., UR5, Franka Emika
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Design-Build-Test-Learn (DBTL) cycle that rapidly iterates the design, synthesis, and evaluation of molecular-robot components. https://molbot-ex.org/index.html [Work content and job description] The E01
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robots, robotic manipulators, or locomotion systems. Knowledge of machine learning, reinforcement learning, imitation learning, or computer vision techniques for robotics applications. Strong analytical
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extensive knowledge of robotic navigation, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and
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synthesis. Experience and knowledge with robotic systems, high-throughput experimentation, or autonomous laboratory development. Demonstrated scientific productivity (peer-reviewed publications). Strong hands
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Electronic Engineering, Computer Science, Mechanical Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is
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Engineering or related field 3-year research experience in related area Expertise in robotic manipulation systems Knowledge in robotic foundation models Publication track record is an advantage Proficiency in
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Education Institutions. Preference factors: Motivation for experimental work in robotics, marine systems, and underwater platforms; Knowledge of the analysis and design of underwater vehicles or structures