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Field
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—combining the compliance and safety of soft systems with the precision and performance required for impactful applications. The PhD candidate will be encouraged to actively shape the direction of the research
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select technical industries. The analysis will focus on case studies from industries partnering with the project. This position is embedded in the Security, Technology and e-Privacy Research Group (STeP
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more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why
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the project. This position is embedded in the Security, Technology and e-Privacy Research Group (STeP) at the Faculty of Law and the Jantina Tammes School of Digital Society, Technology and AI research
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, and machine learning for data analysis. This includes an intrinsic motivation to expand your horizon, ablilty to learn quickly, and strong communication skills to easily connect with other experts in
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existing methods for the current task in the most efficient manner is a core skill needed. Moreover, good communication skills, with various stakeholders of diverse background, is paramount. Required
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communication skills and the ability to work both independently and in a team. Proficiency in written and spoken English. Prior experience in soft robotics, machine learning for control, or experimental robotics
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analytics (statistical models, machine learning, uncertainty quantification) to monitor and predict cycling travel conditions from various perspectives (safety, crowding, travel time, comfort, etc
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select technical industries. The analysis will focus on case studies from industries partnering with the project. This position is embedded in the Security, Technology and e-Privacy Research Group (STeP
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innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite