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funded 3-4 year PhD position at ETH Zurich. Opportunity to directly linking simulations with unique experimental data from intentional cloud perturbations. Access to high-performance computing resources
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), including SQL and NoSQL databases, to store and manage data efficiently Cloud Computing and APIs: Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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between the (relatively few) models of early contrail development which operate at the plume scale, regional- to global-scale models of the cloud response, and real-world observations of both. The lack of a
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and their CI/CD integrations, providing well-structured code and documentation Experience in working with cloud, HPC or cluster compute resources including working in a Linux environment and command
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of telecommunications, AI and cloud computing technologies. Key Responsibilities: Use of ML to handle resilience and fail over in 6G architectures Design and develop robust network slicing in 6G architectures
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, Electrical Engineering, computer science, or closely related fields, and should have the competencies of R1 category. Other skills that are valuable, but not mandatory are: Edge-cloud infrastructure management
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awarding of PhD degree. LanguagesENGLISHLevelGood Additional Information Benefits full-time position, annual leave 36 days well equipped facilities, the tools required for research: computer farms and cloud
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public and private sectors. The successful applicant must hold a PhD degree in Telecommunications, Electrical Engineering, computer science, or closely related fields, and should have the competencies