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, Mechanical or Electrical Engineering, Control, Applied Mathematics, or a related field. You should have a solid foundation in machine learning and strong programming skills (Python, deep learning
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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Diplomas Transcripts/grades from Bachelor’s and Master’s studies If you are successful, you will need to enrol in one of the EPFL doctoral school programs in parallel. Please check this page for
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programs in parallel. Please check this page for additional information. Please note that this is a separate application process necessary to be eligible to complete your PhD at EPFL. Potential doctoral
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experience as a TA, head TA, or in course/program coordination, ideally in a technical or CS-related field Strong organizational skills and comfort managing multiple parallel timelines and stakeholders Working
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tailor their work toward one or more of these focus areas, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam
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niobate photonics platform, which we can fabricate in-house, at EPFL, to realize efficient and low-foot print frequency converters. In parallel, you will study the performance of these devices at
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Abstractions Lab (LASeR) develops programming languages and formal reasoning tools for networked systems. Networks are the invisible infrastructure that connects the modern world, yet programming and
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drastically reduces power and latency. We are looking for a Postdoctoral Researcher / Research Engineer with a background in Embedded Systems and Low-Level Programming to design the control logic that
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engineer with the motivation to learn proof-assistant technology will thrive in this role. Main duties and responsibilities Bring technical expertise in systems programming and performance engineering