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related to staff position within a Research Infrastructure? No Offer Description PhD Position in Decentralized Resource-Constrained Machine Learning The Distributed Computing (DISCO) Group is a research
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such as autonomous cars and robots. Job description We have multiple open PhD positions at AVI@PRS and we are looking for motivated candidates with a strong background in computer vision, machine learning
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these projects will bring forward the integration of novel methods at the intersection of advanced control, optimization, manufacturing science, robotics, and machine learning. The two doctoral student positions
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degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in Mathematics, Statistics, Physics, or other quantitative discipline
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with online newspapers and use social media data. Our research employs advanced statistical methods for causal inference and we develop state-of-the-art machine learning classifiers for both harmful and high
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committed to a sustainable and climate-neutral university . You can expect numerous benefits , such as public transport season tickets and car sharing, a wide range of sports offered by the ASVZ , childcare
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partners. You will have the unique opportunity to learn, develop and apply a range of cutting-edge modeling and computational techniques. You will also be exposed to experimental methods used to produce data
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with machine learning, clustering methods or generative AI (preferred but not required) Willingness and ability to collaborate with researchers from different backgrounds, stakeholders and the general
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layered and even spatial extrusions. Furthermore, you will collaborate with the Ph.D. student of the CDL group and the postdocs, on closed-loop control systems with machine learning, and design for
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motivation to learn and work independently Above all, candidates should be curious and enthusiastic in what they do We offer Your career with impact: Become part of ETH Zurich, which not only supports your