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Computer Science or CFC, with at least 3-5 years of working in the IT field. Customer-focused, easy to approach, calm and flexible mindset: you enjoy working with people. You enjoy troubleshooting problems and
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Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field. Exceptional BSc candidates with strong engineering experience will also be considered. Experience in AI and neural
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of artificial intelligence, atomistic simulation, and materials science, starting in September 2026 or by mutual agreement. Our group develops computational methods to accelerate the discovery and design of
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10%, Zurich, fixed-term The position is offered in the Biocommunication Group at ETH Zürich, led by Professor Consuelo De Moraes. Our group investigates insect-host interactions using behavioral, chemical, and molecular approaches. We are looking for a motivated student to assist with rearing...
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an international, vibrant, and intellectually stimulating work environment. The head of the group also serves as Co-Chair of Design++, the ETH Center for Augmented Computational Design in Architecture, Engineering
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commitments Profile We are looking for a proactive, highly motivated and well-organised person, studying for an MSc (or equivalent Master's degree) in a quantitative discipline (such as engineering, informatics
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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 operational decision making with data science. This position focuses on the development of experimental and causal methods for efficient and robust...
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products Profile MSc in natural science or computational science and preferably a PhD in meteorology, climatology, environmental science, or a closely related field Excellent programming skills in R and/or
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computational screening and process modelling The overarching goal is to connect atomic-scale mechanisms directly to their separation performance and to derive rational design principles for improved materials
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fluent in computational design and experienced in carrying work across the threshold between digital model and physical result An interest in the behavior of stone is welcome; its scientific