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Adaptive Learning in Brain-Robot Interactions School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year
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or have a relevant PhD degree or equivalent professional qualification/experience in Robotics, Engineering, Computer Science, Maths or closely related discipline (e.g. social science applied to technology
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Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science PhD students will work on robot learning for manipulation
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(or ability to obtain within 6 months) Preferred Qualifications PhD degree in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Robotics, or a related field, with
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of training programs for robot-assisted surgery, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable once (upon a favorable evaluation) for a maximum
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Institute of materials and machine mechanics Slovak academy of sciences | Slovakia | about 1 month ago
Qualifications • Master’s degree + minimum 3 years of R&D experience, or PhD + minimum 1 year of R&D experience. • Experience/portfolio in robotics (C++/Python), kinematics and basic control; familiarity with ROS
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close to completing, a PhD in in chemistry, biochemistry, analytical science, structural molecular biology or related discipline, and experience of at least one structural MS method, and have a passion for
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, interdisciplinary environment involving faculty, postdoctoral researchers, engineers, and students. Applicants must hold a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or have
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safety-critical contexts, misunderstandings can have serious consequences. This PhD project addresses this challenge. You will develop a novel, universal framework for robot communication that is both
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19.03.2026, Academic staff Urban environments offer vast, yet underused, potential for biodiversity. The ROBOHAB project combines ecology, fungal biotechnology, computational design, and robotic