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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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We invite applicants to join our team of researchers within the area of energy and environmental systems analysis focusing on the transition towards a sustainable transport sector. We are looking
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technologies, refining our methods, and applying them to real-world cases. Your work will help determine whether these new alternatives can truly outshine lithium-ion batteries in terms of sustainability. About
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. In addition to devoting 80% of your working time to research, the remaining 20% is devoted to departmental duties, such as helping as a teaching assistant in courses offered by the university. Salary
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contribute to research and education in the field of sustainable electric power and energy systems. We offer an open-minded, collaborative, and supportive research environment that encourages individual growth
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Advance Fall Risk Prediction and Rehabilitation with Biomedical Radar! Are you passionate about research that makes a real difference in people’s lives and society? Do you thrive on solving real
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(AoP) division at the Space, Earth and Environment (SEE) department at Chalmers hosts about 45 staff members involved in research activities such as active galactic nuclei, evolved stars, exoplanets
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May, 2025 Contact information For questions about the research project: Assistant Professor Urban Wünsch wuensch@chalmers.se For questions about the recruitment process: Professor Britt-Marie Wilén
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production and wind power), you will contribute to Sweden’s long-term industrial competitiveness. We are seeking a highly motivated and curious PhD candidate with a passion for research excellence, an interest
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neural networks is highly debated at the moment in all areas of deep learning. In this project, you will work on a theoretical framework which will help to better understand these questions in the context