117 computer positions at ETH Zurich

  • ETH Zurich | Switzerland | about 15 hours ago

    the Forest and Landscape Management program.

  • ETH Zurich | Switzerland | about 16 hours ago

    . Scientific IT Services (SIS - a section with ITS) aims at bridging the gap between computational research and IT services and infrastructure provisioning. We are working closely together with ETH researchers

  • ETH Zurich | Switzerland | about 16 hours ago

    . These positions will contribute to a broader research program focused on devising pathways toward a just and sustainable biosphere by examining how governance systems, digital technologies, and socioeconomic

  • ETH Zurich | Switzerland | about 15 hours ago

     plasma. The main methods used are computer simulations for studying dust dynamics and analysing in situ measurements by spacecraft that carry a dust detector on board. We collaborate with researchers in

  • ETH Zurich | Switzerland | 26 days ago

    position requiring high manual dexterity and technical versatility. You will be expected to switch frequently between diverse tasks such as computational modeling, computer-aided design, manual and CNC

  • ETH Zurich | Switzerland | about 16 hours ago

    generation of enhancement algorithms tailored for endoscopic videos, with a focus on applications in real-time interventions. Development efforts will prioritize both enhancement quality and computational

  • ETH Zurich | Switzerland | about 16 hours ago

    to the high number of parameters involved and the required computational time. The new ETH Mobility Initiative project, Future Uncertainty in Transportation and URban systems for Enhanced Strategic planning

  • ETH Zurich | Switzerland | about 16 hours ago

    high-performance computers to better understand our planet and to address pressing environmental and societal challenges. The heart of ETH Swiss GeoLab will be a technological platform designed to

  • ETH Zurich | Switzerland | about 16 hours ago

    broader research agenda focused on how digital infrastructure and computational tools can support (or hinder) progress toward effective, coordinated, and equitable biodiversity governance. Research topics

  • ETH Zurich | Switzerland | about 15 hours ago

    experience CH/EU/EFTA citizenship or a valid Swiss work permit Master’s degree (ETH, university) in engineering, mechatronics, computer science, or a related field Experience in machine learning, signal

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