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Field
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systems, with applications to various robotic systems. Key Responsibilities: Conduct research in the area of control theory and machine learning Conduct experiments on different robotic platforms
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development activities in the field of mobile robot control, with a specific focus on marine robotics for environmental monitoring and restoration. The candidate will work in a multidisciplinary team that
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will involve model training, test rig set-up, and experimental validation Job Requirements: The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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on an innovative, multidisciplinary approach to robot design and control, and the development of novel robotic components and technologies for applications in medical, surgical and rehabilitation robotics
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development, model training, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in AI, Robotics, Automation, Mechanical Engineering, Control
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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algorithms for an autonomous surgical robot, as well as the implementation of control algorithms for interaction with deformable environments in a surgical context. The generated trajectory must be generalized
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Application deadline: 31/01/2026 Research theme: Control Engineering, Robotics UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual
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Control for Autonomous Robots using S-Graphs), funded by the Luxembourg National Research Fund (FNR). The successful candidate will work under the main supervision of Prof. Holger Voos and will be required