24 geographic-information-system-policy-strategy PhD positions at Chalmers University of Technology
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Effective use of AI and AI agents requires high quality data. This research is concerned with studying what data companies should collect, how they should process it, where to store it and how
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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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-SEK, 12-year Wallenberg Centre for Quantum Technology (WACQT), aiming to build a superconducting quantum computer. As part of this project, you will explore quantum computation with microwave circuits
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
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these systems operate in, ACPS increasingly rely on data-driven learning-enabled components to perform a variety of challenging decision-making tasks. While indispensable for autonomy, learning-enabled components
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that utilize streets and roads to manage stormwater, there is limited knowledge on effective design and implementation strategies. This PhD project aims to investigate how urban roads can be designed and
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corresponding to 20 percent of working hours Contract terms and what we offer The PhD-position is fully funded from the start As a PhD student at Chalmers, you are an employee and enjoy all employee benefits
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The main purpose of this project is to develop new biobased surfactants using sustainable raw materials as an alternative to conventional petrochemical-derived surfactants. Since most surfactants
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with real-world applications, in collaboration with Volvo Cars and Volvo Group. This is an ideal position for candidates interested in interpretable AI, safety guarantees, and high-impact research in
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justice? Much research and initiatives to counter inequitable participation in STEM has focused on students’ perceptions and experiences. There is a need for research that directs attention to social