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Agentic AI is an emerging technology that fundamentally changes product development and evolution. We seek to study the implications of Agentic AI with the intent of accelerating the adoption
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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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.” In this role, you will develop advanced methods to estimate rail roughness and defects based on onboard vibration and sound signals—contributing to a quieter, more reliable, and cost-efficient railway
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chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food Science, we focus primarily on marine and plant-based food systems for which we develop tools and processes
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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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on developing novel memory and logic devices based on TMDs. These will target both near-term industrial applications and emerging neuromorphic (brain-inspired) computing architectures for AI accelerator hardware
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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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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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urban catchments. Develop road designs that optimize water accumulation or flow. Create a framework for the selection and design of climate-adapted roads. The research will primarily involve hydrological
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
. This PhD project aims to close that gap by developing a rigorous mathematical framework to analyze and explain transformers using information-theoretic tools. You will be co-supervised by: Research