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Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
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, and communicate complex spatial environments? Do you hold a master’s degree in cognitive science, environmental psychology, human-computer interaction, geo-information science, or a related field, with
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substantial experience with machine learning techniques. You have experience with the PreFer data challenge. You have experience with working with Dutch register data. You have the ability to identify
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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curve modelling, machine learning, large language models); You have excellent English communication skills (oral and written). Basic Dutch understanding and speaking skills, or a willingness to learn, are
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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selection procedure. For more information see https://www.tudelft.nl/onderwijs/opleidingen/phd/admission You enjoy performing research. You are independent, self-motivated and eager to learn. You are keen to
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of years are investigated by combining fieldwork, lab work and computer simulations. By bringing together our fundamental understanding of system Earth and our fresh curiosity we conduct research that is
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-data interaction, and machine learning, making it a natural home for advancing data interaction in hybrid care. This specific position is in close collaboration with Catharina Hospital Eindhoven and
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in