33 phd-architecture-engineering PhD positions at Chalmers University of Technology in Sweden
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, industrial, and public sector partners. The PhD student's main supervisor will be Malgorzata Zboinska, Associate Professor in Architectural Design, Digital Technology and New Media Art, head of the research
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offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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personalized rehabilitation strategies. As a PhD student, you will develop a prototype system based on emerging biomedical radar technology to enable accurate fall risk assessment and personalized rehabilitation
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of Computer Networks and Systems within the Department of Computer Science and Engineering . Within the Division we have four faculty members, four postdocs and eleven PhD students who are engaged in research
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water treatment strategies. About the division and department The position is based at the Division of Water Environment Technology (WET), within the Department of Architecture and Civil Engineering at
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about doctoral studies at Chalmers here . Qualifications You have a masters degree in a field related to High Performance Computing, Computer Engineering or Computer Architecture. You are highly motivated
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Are you eager to dive into groundbreaking research at the intersection of sustainability and biotechnology? Join us in an exciting PhD project at Chalmers University of Technology to pioneer fungal
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the following qualifications: To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in engineering (e.g., mechanical, biomedical, or electrical
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This is a broad call for five fully-funded PhD positions in computer science and engineering to work on machine learning, autonomous systems, software engineering, formal methods, and network