212 information-technology-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at ETH Zurich
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by fundamental challenges and with the aim of resulting in technologies for societally relevant applications. She/he is expected to establish an experimental program focused on scalable technologies
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contacted for reference letters Scientific publications are an advantage a maximum of three should also be included when available Further information about Engineering Design and Computing Laboratory can be
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initiatives, and ensuring internal and external partners. It also ensures that these activities and their outcomes are communicated effectively to both internal and external audiences. Focusing on specific
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platform. Profile You are an ETH student enrolled in Computer Science, Electrical Engineering, Power Engineering, or related fields. You are passionate about data engineering, systems development, and energy
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The Center for Security Studies (CSS) at ETH Zurich is a center of competence for Swiss and international security policy. It offers security policy expertise in research, teaching, and consulting
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academic, industrial and institutional partners, the initiative develops new space missions, instruments and technologies. This position is offered as a fixed-term appointment for an initial period of two
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bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
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bioelectronics or software simulations, or a strong willingness to acquire it, alongside solid knowledge of electrochemistry and materials chemistry Candidates should be eager to collaborate closely with molecular
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The Computer Security Group is a research group in the Department of Information Technology and Electrical Engineering at ETH Zürich. We are interested in a variety of hot topics in the area of
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, electrical engineering and computer science to design highly efficient and sensitive imaging and inference approaches to help guide diagnosis and treatment in cardiovascular patients. Project background