14 scientific-computing Postdoctoral positions at Chalmers University of Technology in Sweden
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Programme? Not funded by a EU programme Reference Number 304--1-14183 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a postdoctoral researcher
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Application Deadline 9 Oct 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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environment with the highest scientific standards. The focus of the current position is in the areas identified by both arXiv categories hep-ph and hep-th. The postdoctoral project will focus on aspects
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5 Sep 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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)* Strong background in computational mechanics and numerical methods Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and
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Demonstrated experience with LS-DYNA or comparable commercial FEA software Proficiency in Python programming for scientific computing and machine learning applications Experience with machine learning methods
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23 Aug 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2) Country Sweden
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Application Deadline 28 Sep 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 304--1
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fundamental questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration