45 computational-physics "https:" "https:" "https:" "IFM" "IFM" "IFM" "IFM" positions at Linköping University
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. Information about the workplace: https://liu.se/en/organisation/liu/ifm https://liu.se/en/research/m2lab The employment This employment is a temporary contract of two years with the possibility of extension up
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) Country 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
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participation in regular group meetings and events. You can read about the workplace: https://liu.se/en/organisation/liu/ifm/mdesign The employment This employment is a temporary contract of two years with
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=sv The employment When taking up the post, you will be admitted to the program for doctoral studies. More information about the doctoral studies at each faculty is available at https://liu.se/en
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the EU’s ambitious AI Factories initiative. Learn more: https://mimer-ai.eu/about-mimer/ , https://www.naiss.se , https://eurohpc-ju.europa.eu/ai-factories_en The position As AI Training Program Officer, you
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application! We invite applications for a fully funded PhD student position to join the research group of Andrew Winters to work on challenging problems in Computational Mathematics for accurate and reliable
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maximum of 20 per cent of full-time. Your qualifications You have a master’s degree in electrical engineering, engineering physics, computer science, applied mathematics or have completed courses with a
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courses in the Division of Logistics and Quality Management starting autumn semester of 2026 until the end of spring semester 2027. Work as a teaching assistant will include teaching, tutoring in computer
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NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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into consideration. We are looking for a candidate with a PhD in Electrical Engineering, Engineering Physics, Mathematics, Computer Science, or a related field, with expertise in programming, physical modeling