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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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has three scientific divisions, Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics. We have an international environment with frequent exchanges with other
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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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focusing on: Quantum mechanical calculations using density functional theory. Mean-field modeling and Monte Carlo simulations for reaction kinetics. Theoretical spectroscopy By combining quantum mechanical
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of robotics, electromobility and autonomous driving. We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and
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interest in bridging theory and application A solid publication record in relevant areas * The date shown in your doctoral degree certificate is the date we use, as this is the date you have met all
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. This position is part of a collaborative effort between Chalmers University of Technology, Volvo Cars, and Volvo Group, and offers a unique opportunity to work at the intersection of control theory, machine
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discussions with the successful applicant. You will work in a team of researchers with competences ranging from nano- and biophotonics to nanofabrication and theory. The Bionanophotonics group, lead by
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: The successful candidate must have a Master's degree in electrical engineering, engineering physics, or related disciplines. Completed courses in signal processing, radar or communication theory are meritorious
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development