58 assistant-professor-computer-"https:" "https:" "https:" "https:" "EURAXESS" Postdoctoral positions at Chalmers University of Technology
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Are you excited about pioneering experimental quantum computing? Do you want to be part of a world-class research environment developing the next generation of superconducting quantum processors? We
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Sweden Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at the Laboratory
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23 Dec 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Programming Computer science » Other Researcher Profile Recognised Researcher (R2
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to applied projects linked to societal needs. Key areas include computational mathematics, optimisation, biomathematics, statistics, and data science, supported by an active PhD programme. Our
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, including within the master’s programme Systems, Control and Mechatronics. About the research project Without accurate knowledge of the limiting conditions, Li-ion batteries are charged slowly yet still
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, biomedicine, and sensing. Our research spans carbon-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management
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requested after the interview. We welcome your application no later than April 30, 2026. For questions please contact: Anna Scampicchio Assistant Professor anna.scampicchio@chalmers.se *** Chalmers declines
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Are you interested in developing machine learning algorithms that provably help us make better decisions? Join us as a post-doc in the Division of Data Science and AI, Department of Computer
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition