35 phd-in-architecture-interior-design-built-environment PhD positions at Chalmers University of Technology
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for applied AI that is bringing together over 120 partners across public and private sectors including academia. Our division Interaction Design and Software Engineering provides world-leading research and
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of Life Sciences (LIFE) at Chalmers. FNS addresses major societal challenges related to sustainable food production, nutrition and health. We conduct fundamental and applied research, innovation, education
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bringing together over 120 partners across public and private sectors including academia. Our division Interaction Design and Software Engineering provides world-leading research and education in
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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Are you eager to conduct cutting-edge research at the intersection of electronics and artificial intelligence (AI)? We invite highly motivated candidates to apply for this PhD position
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of transport. The position will be placed at the Division of Applied Acoustics, Department of Architectural and Civil Engineering . As a PhD student, you will belong to the Graduate School of Applied Acoustics
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environment is international and English is the working language. If Swedish is not your native language and you are interested in learning it, Chalmers offers Swedish courses that are free for PhD students
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We invite applications for several PhD positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment of the Wallenberg Centre
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project