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. As part of your role, you will: Take technical ownership of spacecraft avionics subsystems, acting as the primary technical authority for onboard computing and data handling within the assigned project
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on the working percentage, educational level and experience in accordance with ETH Zurich standards), social security benefits and other benefits from ETH Zürich. chevron_right Working, teaching and research
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Master’s degree in Computer Science, AI, Machine Learning, Mathematics, Electrical Engineering, or a closely related field; or Master’s degree in Medicine (MD) with strong Python skills and some ML
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compromise grid reliability and energy security. We proceed in two steps. First, we use AI-based document analysis and engineering data to construct detailed bills of materials (BOMs) for selected critical
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of emerging technologies balanced against their dark sides. Our research at the intersection of data, behavioural, and computer science draws on data from real-world and experimental settings The Centre for AI
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to work at the interface of quantum optics, quantum information science and quantum many-body physics. Led by Prof. Wenchao Xu , the EQE group develops programmable quantum systems based on neutral atoms
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We look forward to receiving your online application (English, PDF format), including: Motivation letter (max. 1 page) outlining your qualifications and motivation for this project. Research proposal (max. 3 pages) on "Future of food processing for affordable, nutritious and more sustainable...
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stress and threatening food security. As the restaurant sector continues to grow, its higher waste volumes and easier supply chain potential compared to households make it a strategic intervention point
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The Mobile Robotics Lab (MRL) at ETH Zürich pushes the limits of robot intelligence. We want to build robots that can safely explore, navigate, and interact with their environments—specifically, how learned perception can drive action in a closed loop and how we can leverage foundation models...
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for the renewable energy sector via the M2A European Training Network (ETN), funded by the European Commission’s Horizon 2020 Marie Skłodowska-Curie programme. Project background M2A puts forward a robust methodology