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to investigate flow-induced forces in hydraulic turbines under varying operational conditions and how these forces affect the degradation and lifetime of the machines. About the position The position is based
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performance. Funded by the Swedish Research Council, this research is hosted at the Division of Chemical Physics. About us The research at the division of Chemical Physics at Chalmers University of Technology
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design, marine structures, hydrodynamics, safety, and maritime operations. We combine fundamental and applied research, including simulation methods, tools and metocean data, to improve ship safety and
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work will build on and extend an advanced in-house time-domain simulation tool for wheel–rail interaction and noise. The project is carried out in close collaboration with DB InfraGO, the German railway
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advancements in the field, biobased surfactants often face challenges in achieving the same performance as their synthetic counterparts, particularly in terms of surface activity, stability, and efficiency in
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to operate around the clock. By ensuring the performance, longevity, and circularity of industrial systems such as advanced manufacturing (e.g., automotive and battery) and renewable energy (e.g., energy
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research interests Bachelor’s and, if available, master’s thesis together with the transcripts Other documents: evidence of written work, attested copies of completed education (including grades) and other
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able to understand and quantify the triggers and precursors for shallow slides in sensitive clays as a function of time (>100 years). Information about the division and the department Geotechnics
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food commodity of high acceptance and ultimately enhance food security. The work will be carried out in close collaboration between academic and industrial partners paving the way for fast implementation
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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