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1st October 2026 Languages English English English The Department of Mechanical and Industrial Engineering has a vacancy for a PhD Candidate in Robotics and Intelligent Mechatronic Systems
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application process here. About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
analysis of mechanisms, mechatronic design, and robot architecture optimization. This PhD is part of a collaborative research project with the Gepetto team at LAAS-CNRS (Toulouse). The PhD candidate will
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such as electrical and electronic engineering, mechatronics, physics, materials science, mechanical engineering, aerospace engineering, or a closely related subject. A strong background or relevant
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with first class honours (or equivalent), or a master’s degree in electronic engineering, Mechanical, Manufacturing Engineering, Mechatronics, Robotics, Computer Science, or a closely related discipline
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Engineering, Control Engineering, Mechatronics, Robotics, or a related discipline with a strong focus on dynamic systems. Strong background in state-space modelling, estimation theory, and control systems. Good
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minimum 2:1 Bachelor's or equivalent qualification in Electrical or Electronic Engineering; Biomedical Engineering; Bioengineering; Physics/Applied Physics; Mechatronics; Computer Science/Data Science
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such as electrical and electronic engineering, mechatronics, physics, materials science, mechanical engineering, aerospace engineering, or a closely related subject. A strong background or relevant
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, mechatronics, physics, materials science/engineering, mechanical/aerospace engineering, or a closely related subject, is essential. A strong background or relevant experience in high-voltage engineering
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collaborative, leading a project involving a multi-disciplinary team of mechatronics, design and automation engineers, electrochemists, process engineers, and AI/ML experts to realize self-driving laboratories