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using learning-based algorithms Development of a simulation framework for stressor analysis and traffic equilibrium modeling Integration of predictive analytics and multi-agent reinforcement learning
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elasticity, dissipation, and slender geometry interact to influence crack initiation and growth. Using in-house codes and high-performance computing resources, the candidate will simulate fracture processes
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algorithms and AI-based solutions for data processing and validation, and provides scientific expertise for the implementation of future remote sensing missions. The team’s work bridges earth observation with
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100%, Basel, fixed-term ETH Zurich is a world-leading university dedicated to advancing science, engineering, and technology. The position is embedded in the Computational Biology (CoBi) group
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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for monitoring people’s health. You will focus on developing new solutions, electronics, algorithms and methods to assist individuals, physicians and sports coaches to effortlessly and continuously monitor health
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CDSS is currently seeking to appoint a Research Software Engineer with experience in scientific computing to strengthen our team of experts to support the ETH research community as
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The Industrial Robotics Group (IRZ) at ETH Zürich and Inspire AG is a leading research unit tackling key challenges in robot-based manufacturing through innovation in computation, modeling, and
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. The ideal assistant studies in the Bachelor's or the Master's program of the Faculty of Business and Economics. In addition, a high level of self-reliance and an efficient attitude to work is expected
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data processor. Collaboration: Engage actively with an international team of scientists, engineers, and partner institutions. Communication skills and the ability to work collaboratively are essential