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project, which focuses on the mechanical and mechatronic design of continuum surgical robots, with applications in neurosurgery and endovascular interventions, as well as sensing and control
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computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in Mechanical Engineering and strong
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Mechatronics. Candidates must hold a Ph.D. in this field or a closely related field and have a strong background in research. Relevant international experience is of advantage. The successful candidate will
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Engineering or Mechatronics; RSO II - a Master's degree in ICT or Engineering or Mechatronics; and Desired Requirements that would be given preference for the RSO I or II Post: Working knowledge of Linux
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Candidates with expertise in at least one of the following areas are welcome: Robotic and mechatronic system design Soft robotics / flexible mechanisms 3D printing mechatronics / robotic integration Human
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into real-world applications in Geriatronics. Your Profile PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, Mechatronics, or a closely related field. Proven experience in
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candidates is provided in the framework of the KU Leuven Arenberg Doctoral School (https://set.kuleuven.be/phd ), known for its strong focus on both future scientists and scientifically trained professionals
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information on our school, go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering Skills & Experience: Lecturer (Level B) PhD in an area of direct relevance, including
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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and education About the opportunity The School of Aerospace, Mechanical and Mechatronic Engineering at The University of Sydney (Sydney, Australia) invites applications for several academic positions