Sort by
Refine Your Search
-
operates at the intersection of computer science, civil engineering, and architecture. Your responsibilities will include the development of both theoretical concepts and practical tools for the construction
-
at the intersection of data, behavioral, and computer science draws on data from real-world and experimental settings. Examples of our previous projects can be found by visiting our website here . Project background In
-
Engineering, Bioengineering, Mechatronics, Robotics, Computer Science, or related. Candidates should also have: 1) demonstrated experience in physiological sensing and hardware prototyping comprehend, process
-
100%, Zurich, fixed-term Thesolid-state NMR research group in the Departement of Chemistry and Applied Biosciences is looking for a PhD student on the topic of pulse-sequence optimization based
-
7 Mar 2024 Job Information Organisation/Company ETH Zurich Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher (R1) Country Switzerland Application
-
100%, Zurich, fixed-term The Institute of Machine Tools and Manufacturing (IWF) at the Department of Mechanical and Process Engineering performs international leading research on machine tools and
-
leveraging musculoskeletal robot technologies. You will embark on a comprehensive study of existing muscle-like technology and robotic hands, drawing inspiration from nature to design and develop a robotic
-
presentations You will supervise master/bachelor students You will be involved in teaching activities Your profile MS in Electrical Engineering, Computer Science, or related field with a good background in
-
100%, Zurich, fixed-term The Laboratory for High Power Electronic Systems (HPE) at the Department of Information Technology and Electrical Engineering of ETH Zurich conducts internationally leading
-
Computer Science or Electrical Engineering requirements for the position: strong interpersonal and communication skills experience in signal processing or machine learning for time series understanding of multimodal