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Project overview Climate change and increasing flood risks pose significant challenges to urban infrastructure worldwide.While many municipalities are exploring catchment-based approaches
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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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We are offering a PhD position in the field of algorithmic graph theory. The position is a full-time employment with a competitive monthly salary and full social benefits for up to five years. You
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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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the division of Geoscience and Remote Sensing we conduct research to tackle global environmental problems and to understand processes of the Earth system. We develop sensors, gather and analyse data
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Gerken (Department of Mathematical Sciences) Project description In many deep learning applications ranging from medical image analysis to quantum chemistry, the symmetries of the underlying problem pose
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decarbonization of the maritime sector. The position is located at the Division of Transport Energy and Environment . You will be joining Maria Grahn and Selma Brynolf’s research team, presently consisting of three
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compatibility with industrial applications. The position is part of a large EU project SurfToGreen where you will have the opportunity to interact with world-class researchers in a multidisciplinary environment
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and verbal communication skills in English. Motivation to work in an interdisciplinary team and contribute to the development of future sustainable power systems. What we offer The PhD position is fully
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-world challenges through interdisciplinary collaboration? This PhD student position offers a unique opportunity to contribute to a multidisciplinary research project that bridges the knowledge from