50 postdoc-distributed-algorithms uni jobs at ETH Zurich

  • ETH Zurich | Switzerland | 1 day ago

    , Switzerland [map ] Subject Areas: Computer Science / Distributed Systems and Networking , Networking , Networking and distributed systems Appl Deadline: 2026/01/08 11:59PM (posted 2025/11/10, listed until

  • ETH Zurich | Switzerland | about 24 hours ago

    , financial networks, e-democracy, voting, social networks, online analysis with delay, and theory of distributed algorithms. In our group, we work on both theory and practice: some members of our group focus

  • ETH Zurich | Switzerland | about 24 hours ago

    into embedded prototypes to demonstrate real-world feasibility. The overarching goal is to bridge high-level algorithmic innovation with energy-aware hardware deployment, enabling intelligent sensor systems

  • ETH Zurich | Switzerland | about 24 hours ago

    technologies (i.e. computing, data, algorithms, AI) in society. We are in particular looking for candidates who have interest and experience with STS and humanities pedagogy in the context of a technical

  • ETH Zurich | Switzerland | about 24 hours ago

    processing and analysis. The LISA ground segment is a distributed facility (the LISA Distributed Data Processing Center), for which LISA member states contribute national centers with specific commitments and

  • ETH Zurich | Switzerland | 11 days ago

    networks, online analysis with delay, and theory of distributed algorithms. Job description In our group, we try to apply and unite the approaches and techniques of theory and practice. Some members of our

  • ETH Zurich | Switzerland | 1 day ago

    , you will design, prototype, and optimize advanced simulation algorithms—particularly in the domain of cloth and deformable materials and contribute to our next generation of rendering and learning-based

  • ETH Zurich | Switzerland | about 24 hours ago

    ) distributional generalization, transfer learning, causality Multi-objective settings and alignment, RL theory Statistical learning theory, optimization (e.g., implicit bias) Robustness (broadly defined), privacy

  • ETH Zurich | Switzerland | about 24 hours ago

    development of algorithms and large-scale numerical simulations. Your expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and

  • ETH Zurich | Switzerland | about 2 months ago

    continuously learn from data in a distributed way. Coupling of new theory with effective implementation strategies have the potential to make a lasting impact on building efficiency through sustainable

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