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Engineering, Mechatronics, etc. Strong background in end-to-end autonomous driving, foundation models and reinforcement learning. Candidates having relevant research or working experience in autonomous driving
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or higher in Robotics, Mechatronics, Biomedical Engineering, or a related field. Proven experience in building robotic systems for rehabilitation or healthcare applications, including compliance with relevant
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of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: Experience in hardware and software integration and in mechatronic
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, Faculty of Engineering and Science as a PhD Research Fellow in Mechatronics, affiliated to the Department of Engineering Sciences , for a period of three years. The position is located, at the present
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position A 100 % position is available at the University of Agder, Faculty of Engineering and Science as a PhD Research Fellow in Mechatronics, affiliated to the Department of Engineering Sciences , for a
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physical mechatronics equipment Experience with designing and building robots or mechatronics systems, pref-erably using rapid prototyping techniques like 3D printing Demonstrated interest and enthusiasm
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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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.-level) must correspond to a minimum of four years in the Norwegian educational system • Experience with designing and building robots or mechatronics systems, preferably using rapid prototyping
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. Qualification and Experience PhD (or near to completion) in Mechanical Engineering, Manufacturing Engineering, Mechatronics or a closely related field. Experience in experimental research related to manufacturing
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a 1-page research statement highlighting your interests and fit with our Centre. Core Selection Criteria PhD (or thesis submitted) in robotics, mechatronics, aerospace engineering, or a related field