38 civil-engineering-soil-structure-interaction PhD positions at Chalmers University of Technology
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the Division of Vehicle Engineering and Autonomous Systems (VEAS) , with some collaboration from the Division of Vehicle Safety. VEAS is a research division with close ties to the local vehicle industry
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qualified individual with an MSc degree corresponding to at least 240 higher education credits in civil or mechanical engineering, applied physics, or a related discipline. The ideal candidate will possess
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from satellite, aircraft or ground sensors to understand, model and retrieve parameters relevant to the processes driving our atmosphere, biosphere, hydrosphere and cryosphere. About the research project
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Analysis . We conduct research to find more sustainable technology solutions and ways to transform technological systems to meet the environmental and resource constraints faced by society. Our work is
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We are searching for a doctoral candidate eager to take part in crossdisciplinarity work within battery technology for a sustainable future. This work will compose both theoretical and experimental
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of Electrical Engineering . You will be supervised by senior researchers with expertise in robotics, machine learning, automatic control, and optimization. The group leads and participates in numerous
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Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund
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cross-layer defenses that ensure secure and efficient AI model development at scale. Information about the division The department of Computer Science and Engineering is strongly international, with
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120 credits or a Master’s degree (magisterexamen) of 60 credits in Materials Science, Engineering Physics, or a related field* You will need strong written and verbal communication skills in English
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning