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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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Merits: Experience with Matlab Prior coursework or project experience in railway mechanics Background in signal processing Knowledge of machine learning techniques Main responsibilities Your primary
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the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A starting salary of 34,550 SEK per month (valid from
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for employees. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of
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. The position is limited to four years, with the possibility to teach up to 20%, which extends the position to five years. A dynamic and inspiring working environment in the coastal city of Gothenburg . A
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progression, machine learning. You will collaborate locally and internationally with groups in both theory and experiment. You will disseminate your findings by publishing in scientific journals and presenting
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of Communication and Learning in Science, and join our graduate school Communication and Learning in STEM . At the division, we conduct research and education with a focus on teaching and learning, particularly in
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency