87 machine-learning positions at ETH Zurich

  • ETH Zurich | Switzerland | about 20 hours ago

    the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of

  • ETH Zurich | Switzerland | 3 days ago

    , Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Graph Representation Learning, Haptics, Human-Computer Interaction

  • ETH Zurich | Switzerland | about 20 hours ago

    we seek to enhance resources for student learning on statistics and machine learning applied to these topics. Project background We would like to develop learning exercises that help students learn how

  • ETH Zurich | Switzerland | about 20 hours ago

    100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can

  • ETH Zurich | Switzerland | about 20 hours ago

    discovery, and machine learning. In the wake of quantum mechanics' initial breakthroughs, we're on the brink of a second quantum revolution. Quantum physicists are adopting machine learning to explore complex

  • ETH Zurich | Switzerland | about 20 hours ago

    modeling of historical controls, as well as machine learning, data science, and epidemiological studies based on large SCI datasets. This is an excellent opportunity to contribute to translational research

  • ETH Zurich | Switzerland | about 20 hours ago

    machine learning models, and develop a generalizable decision-support system for vehicle and station allocations. This research will be conducted together with domain experts and collaborators. The research

  • ETH Zurich | Switzerland | about 20 hours ago

    for nowcasting, high-frequency indicators construction, machine learning, time-series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Curious? So are we. We look

  • ETH Zurich | Switzerland | about 20 hours ago

    , qualitative methods that combine situated ethnographic detail with deep knowledge of cultural and political contexts and histories, ideally in a cross-national comparative perspective. You can learn more about

  • ETH Zurich | Switzerland | about 20 hours ago

    upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects

Enter an email to receive alerts for machine-learning positions