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materials for synthesizing different types of hydrogen storage molecules. Using advanced quantum mechanical calculations, you will develop multi-scale models to study reaction kinetics and improve catalyst
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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infrastructure manager, which will provide measurement data and test cases. Research environment This project is part of the activities within the Swedish National Centre of Excellence in Railway Mechanics CHARMEC
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15 Mar 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Mechanical engineering Engineering » Electrical engineering Researcher Profile First
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, Electrical Engineering, Mechanical Engineering, or a related field. Equivalent requirements apply to individuals with an education earned outside of Sweden, for example a 4-year bachelor's degree is accepted
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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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qualified individual with an MSc degree corresponding to at least 240 higher education credits in civil or mechanical engineering, applied physics, or a related discipline. The ideal candidate will possess
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importance, for triggering shallow landslides in sensitive clays. The focus will be on developing computational models that will quantify the mechanisms, precursors and the time to failure. This will be
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. Of particular interest is the investigation of compositional methods for constructing runtime monitors. The candidate will build on the latest advances in formal methods and learning theory, to develop methods
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industry have started exploring alternative materials, devices, and circuit architectures, particularly in the rapidly expanding field of AI hardware. Atomically thin two-dimensional transition metal