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of Competence in Research (NCCR) Separations. Job description Within a broader research program that integrates process modelling, computational materials screening and discovery, experimental synthesis, and
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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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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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. 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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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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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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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
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research in architecture, the arts, or design? And are you ready to make an impact by expanding and integrating this expertise into the wider context of pressing research domains, changing the way we design
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, Biostatistics, Software Engineering, Systems Operations, and Screening & Lab Automation. Embedded in this multi-disciplinary environment, the Clinical Bioinformatics group translates computational biology into
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of