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for robotics. A PhD holder (or working towards one) in an Engineering/Robotics related discipline Able to work independently and under pressure A good team player A strong communicator, both in oral and written
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. You should apply if you are: A self-motivated individual with experience in Robotics and AI Interested in industrial applications for robotics. A PhD holder (or working towards one) in an Engineering
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). The researcher should have a PhD/DPhil in robotics, computer vision, machine learning or a closely related field. You have an excellent academic track record in topics relevant to robot perception. A specific
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representation. ; REQUIRED PROFILE National, foreigner and stateless candidates holding a PhD degree in PhD in PhD degree in Robotics, Ocean Engineering, Electrical and Computer Engineering, Mechanical Engineering
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laboratory automation including applicable laboratory research experience in small volume assays, PCR, handling nucleic acids and robotic automation. Preferred Qualifications PhD. degree in life sciences
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(normally PhD) degree in electrical and electronics, mechatronics, intelligent controls, robotics engineering, computer science, artificial intelligence, computer vision, mobile robotics, machine learning
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the fields of Robotics and AI. You will hold a PhD in Robotics, Artificial Intelligence, Computer Science, or a closely related discipline, and have an established international research profile evidenced by a
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07.08.2026, Academic staff The professorship of Digital Structures with Mineral Materials is looking for an enthusiastic doctoral (PhD) candidate for a project on reinforcement of 3D printed
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: The successful candidate will have a PhD, or equivalent research or industrial experience at a comparable level, in Computer Science, AI, Robotics, Machine Learning, Software Engineering, Scientific Computing
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addition to research activities, the fellow will mentor PhD and Master's students in the IMERSE Lab on topics related to autonomous robotics and mechanically intelligent tool design, including strategies for ex vivo and