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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Transformers are central to many of today’s most successful AI models, from language understanding to computer vision. Yet, their success remains largely empirical, with limited theoretical understanding
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of the technology in the companies in Software Center. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300 employees from more than
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to optimally prepare it for use in AI-driven systems and solutions. About us The Department of Computer Science and Engineering at Chalmers and University of Gothenburg in Sweden with approximately 300
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Are you eager to conduct cutting-edge research at the intersection of electronics and artificial intelligence (AI)? We invite highly motivated candidates to apply for this PhD position
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Advance Earth Observation with 6G Satellites! Join our cutting-edge research at the intersection of satellite communication, signal processing, and Earth observation. As a PhD student, you'll help
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) Potential for international collaborations and secondments Opportunities for PhD, pedagogical and language courses both nationally and internationally (e.g. Nordic Five Tech and ALERT Geomaterials
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hours. The doctoral program is designed to lead to a PhD within four years of full-time study. However, with teaching duties included, the position is expected to span five years. Read more about doctoral
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28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Nuclear engineering Physics » Applied physics Physics » Computational physics
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of computational solid-state materials research! As a PhD student in the Condensed Matter and Materials Theory division , you will have the opportunity to explore surface and device physics, using density functional
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collaborative research environment with high scientific standards. About the research project This PhD research project is focused on developing theoretical and computational methods for analyzing strong force