52 big-data positions at ETH Zurich

  • ETH Zurich | Switzerland | about 6 hours ago

    on large datasets, enabling efficient adaptation to specific applications with minimal annotated data. The objectives of this PhD research project are to: Develop scalable foundation models for the electric

  • ETH Zurich | Switzerland | about 6 hours ago

    The power system is changing, largely driven by the energy transition and climate change. The large shares of renewables, both centralized and distributed, are posing new challenges to system

  • ETH Zurich | Switzerland | 10 days ago

    towards generalizable principles across content areas and issues of societal relevance. The group is looking for a postdoctoral researcher to contribute to ongoing research on Large Language Models as

  • ETH Zurich | Switzerland | about 1 month ago

    ) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes Performing numerical reconstruction of holograms

  • ETH Zurich | Switzerland | about 6 hours ago

    related field with experience in water chemistry, silviculture, experimental field work and large-scale data analysis. You must have good statistical skills and programming experience (e.g., in R or Python

  • ETH Zurich | Switzerland | about 1 month ago

    range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the

  • ETH Zurich | Switzerland | about 6 hours ago

    analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and

  • ETH Zurich | Switzerland | about 6 hours ago

    change. In addition to research, one of the major teaching tasks of the Chair is to deliver the MScLA second-year advanced design studio. In this studio, students develop large-scale landscape

  • ETH Zurich | Switzerland | 2 months ago

    description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and expanding the TreeAI database and advancing

  • ETH Zurich | Switzerland | about 1 month ago

    Containerized and Kubernetes-based service deployment and operations Large-scale machine learning and LLM workflows (e.g., PyTorch, Megatron, pre-training, fine-tuning, inference) Storage and data systems (e.g

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