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are the MaP Doctoral School and ETH Sabbatical | CAS AMaP continuing education programme. To lead the executive office as the central coordination hub, MaP is currently hiring a new Executive Director
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numbers coincide with increasing workforce constraints. To do so, we are developing the AI for Science Instrumentation Gym, which is designed to bridge this gap by placing data-driven hypothesis generation
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see this website for more information on the doctoral programme in our Department of Environmental Systems Sciences (USYS). This project specifically offers outstanding opportunities for collaborations
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100%, Zurich, fixed-term The Decision Sciences and Analytics group, led by Prof. Tu Ni at ETH Zürich is seeking a doctoral student to study the design and analysis of human-AI systems. This position
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that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. About ETH Zürich ETH Zurich is one of the world’s leading universities specialising in science and
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ecology, forest management, remote sensing, decision support, risk analysis, economics, and stakeholder-oriented approaches. We are strongly involved in teaching within the Department of Environmental
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interest in data-intensive systems. You bring a solid foundation in software or data engineering, typically developed through a Master’s degree or higher (e.g. PhD) in Computer Science or a related field, or
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foster interdisciplinary AI research and pave the way from science to society. The Associate to the Directors will work directly with the Executive Director and Co-Director of the ETH AI Center supporting
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well-being. DEPOPLAND is highly interdisciplinary, bringing together expertise from landscape ecology, physical and human geography, land system science, and computational linguistics. The project is
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of methods to program material stiffness in-situ with light. Goals: high stiffness contrast (rigid-soft), fast transition (<1s), and small form factor (< mm scale) Characterization and developing theoretical