15 professor-computer-science PhD positions at Chalmers University of Technology in Sweden
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full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg, Sweden. The student will form a part of a new NEST initiative
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(SPEs) for next-generation solid-state batteries. The position is a full-time employment at the Department of Computer Science and Engineering at Chalmers University of Technology, and based in Gothenburg
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Karolinska Institute. About us The Department of Computer Science and Engineering (CSE) is a joint department between Chalmers and the University of Gothenburg and is internationally recognized for its
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits in Electrical Engineering, Communication Engineering, Engineering Physics, Computer Engineering or similar, with a strong
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vulnerabilities and proposing effective defenses, the project seeks to make the next generation of the Internet more secure, resilient, and trustworthy. About us The Department of Computer Science and Engineering
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, biotechnology, and materials science. Your main supervisor, Malgorzata Zboinska , is associate professor in Architectural Design, Digital Technology and New Media Art and development leader for the Robotic
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energy efficiency, in close collaboration with industry. The division is responsible for educating Naval Architects and Ocean Engineers within the international master's program Mobility Engineering at
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The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division
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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering