32 learning-"https:"-"https:"-"https:"-"https:"-"EMBL" Postdoctoral positions at Chalmers University of Technology
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impact. At the division of Data Science and AI , we develop data-driven methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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: https://www.chalmers.se/en/departments/me/research/product-development/geometry-assurance-robust-design/ Systems Engineering Design: https://sed.chalmers.se/ Automation: https://www.chalmers.se/en
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-based school research in mathematics education Since 2017, Chalmers has been a part of the national initiative on practice-based school research within the framework of ULF (Education, Learning
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-scale infrastructure systems. For more details, see https://research.chalmers.se/en/project/12873 Who we are looking for The following requirements are mandatory: A doctoral degree in applied
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reactor response to potential anomalies and comparing these predictions with detector measurements. Recent research has demonstrated that machine learning models trained on simulated reactor data can
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controlled as well as practical operating conditions. The postdoc will work in an interdisciplinary environment at the interface of automatic control, electrochemistry, and machine learning. The position will
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demographics remain lacking. This project proposes to bridge this gap by transferring state-of-the-art methods from humanoid robotics – reinforcement learning, whole-body model predictive control (MPC
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the position relies on techno-economic modeling, it is carried out in an interdisciplinary EU project ( https://h2valley.se/ ), and it is part of the position to share and combine research results
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, charging infrastructure, mobility demand, and power grid operations. On top of this environment, a deep-learning-based learning will be developed to enable decentralized and coordinated decisions on