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(or shortly thereafter). Project background The goal of this project is to leverage advanced machine learning to develop an automated design process of mechanical walking aids, analyse gait patterns and
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with academic and industrial partners. Profile You are highly motivated and dedicated with a master’s degree in electrical, mechanical, or industrial engineering. Programming, modelling, and data
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degree in electrical, mechanical or industrial engineering. You are experienced as a researcher with an active interest in manufacturing processes and in developing automation solutions to improve
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of architectural and construction systems and details, mechanical prototyping, and development of robotic control code or computational design methods. The project is affiliated with the National Centre
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muscle technologies and robotic systems such as hands and legged systems, studying natural mechanisms of manipulation and locomotion Designing and developing a robotic hand or leg using muscle-like
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commensal bacteria; and/or the identification, characterization and application of new viral defense mechanisms or their applications in bioengineering. The professorship will be embedded in the Institute
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. Desirable criteria: Experience of quantum-chemical simulations from research projects or thesis Experience of applying machine learning from research projects or thesis Familiarity with reactions mechanisms
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the developed methodologies and models to various geological test sites to extract high-resolution earthquake catalogs, analyze rock rupture mechanisms, and benchmark different induced earthquake forecasting
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highly motivated and dedicated candidate with an MSc degree in Energy, Mechanical, or Electrical engineering (or related field). You have an active interest in the on-going energy transition and in
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outstanding experience in mechatronics systems, and control with a PhD degree from a university in Computer Science, Robotics, Mechanical Engineering, or related fields, with a proven track record in robot