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Field
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shape output for a robotic fixation plate bender. This person will lead mechanical validation of robotic bent fixation plates to show they perform as simulated in VSP software. This person will
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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100%, Zurich, fixed-term The Robotic Materials group is looking for a highly motivated postdoc for the topic of soft optical sensory skin. The Robotic Materials group headed by Prof. Hedan Bai
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adapted to human expectations. As a postdoc within the XPECT project, you will be expected to conduct high-quality research (80%), provide support supervising PhD-students and be a part of the research team
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Physical Sciences Research Council (EPSRC) and is fixed-term for up to eighteen months. The research project will focus on the intersection of robotics, automation, and biotechnology, with
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, the Associate will assist with research and development projects in the areas of robotics, machine learning, control systems, and/or computer vision. They will be responsible for: designing and analyzing
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must have a PhD in Robotics, Control Theory, Mechanical or Electrical Engineering, Applied Mathematics, or a closely related field, with a strong focus on robot control, machine learning, and
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, on the technologies and workflows of the Biosolutions Development Pipeline. Teaching will align with your area of expertise. We further expect you to contribute to supervising student projects at the BSc, MSc, and PhD
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research programs and contribution to education excellence in Aerospace, Mechanical Engineering, Advanced Manufacturing Engineering, Robotics and Mechatronic Engineering. Our Schools QS ranking for 2023 is