Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
informatics, especially chronic disease management (with emphasis on asthma) Machine learning / deep learning / artificial intelligence Profile Ideally, the candidate has a degree in Electrical Engineering and
-
students and researchers Additionally, the role offers collaboration opportunities with inspire AG, ETH’s strategic partner for technology transfer to the mechanical, electrical, and metal (MEM) industries.
-
international research community starting in October 2025. The ideal candidate possesses a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering or related fields. Prior
-
100%, Basel, fixed-term The Systems Physiology lab, led by Prof. Andreas Moor, at the Department of Biosystems Science and Engineering (D-BSSE) of ETH Zurich, located in Basel, is seeking a highly
-
, quantum engineering, electrical engineering, photonics or related fields. Alternatively, a Master’s degree and 3+ years hands-on experience is also accepted. The candidate must thrive in
-
) at the Institute of Biomedical Engineering at ETH Zurich. The research in the newly established Multiphase Fluid Dynamics group at ETH Zurich examines both fundamental and applied questions in various small-scale
-
knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG, in collaboration with the Chair of Artificial
-
students conduct in the department. Profile The ideal candidate will possess: A PhD in electrical engineering, biomedical engineering, computer science, or a related discipline, Experience in the analysis
-
for deployment and test them To excel in this role as a ML-focused robotics engineer, you should possess: Pursuing a master’s degree in data science, computer science, robotics, electrical or software
-
-optical simulation and characterization of emerging semiconductor technology. THE POSITION Fluxim is seeking applicants to take part in the European Marie Skłodowska-Curie Doctoral Training Network program