151 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at ETH Zurich in Switzerland
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The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP82 project “NewUrbES – Co-creating new urban
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80%-100%, Zurich, fixed-term The Chair of Sustainable Construction at ETH Zurich invites applications for a 4-year PhD position within the SNF-funded National Research Programme NRP81 project
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, continuous integration). Adapt software for parallel computing, optimization workflows, and high-performance computing environments. Contribute to software deployment, testing, and benchmarking across multiple
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on algorithms and mathematical proofs, and some on system design and building. Job description The Distributed Computing group at ETH Zurich is looking for a PhD candidate to work on the SNSF Ambizione 2023
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Zurich is a community of approximately 50 researchers from more than 20 countries working on the development of methods and computational tools for automation, exploring their potential for promoting our
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with finance, budget, and student offices to ensure compliance with ETH policies and procedures. Additionally, you will initiate and support personnel workflows such as contracts for PhD students
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-transportation system, we are looking for a: PhD Student in Data-Driven Policy Optimization for Transportation and Energy (100%) Project background Our energy and transportation systems are rapidly transforming in
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trait-associated sequence variation. We offer a PhD position at the interface of computational and statistical genomics, and bioinformatics. Project background Cattle are an interesting «model organism
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, Environmental, and Geomatic Engineering, has an opening for a PhD student in model-based planning support for transport and urban systems under uncertainty. Planning transport and urban systems is inherently
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master’s degree preferably in Computer Science, Information Technology, Information Systems, Statistics, Data Science, Engineering, or a related field Strong machine learning and programming experience with