45 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "CNRS" research jobs at Chalmers University of Technology
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Akelius Math Learning Lab, see: https://www.chalmers.se/institutioner/mv/akelius-math-learning-lab/ Who we are looking for The following requirements are mandatory: Doctoral degree in mathematics
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Mathematics and Statistics Regarding the research project, please contact: Professor Aila Särkkä (https://www.chalmers.se/en/persons/aila/ ) Dr. Moritz Schauer (https://www.math.chalmers.se/~smoritz/ ) We look
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then: Avancez – forward. URL to this page https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14445&rmlang=UK Back to available jobs Apply We are not accepting applications
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, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent research and publish in peer-reviewed journals Strong written and verbal
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Recognised Researcher (R2) Country Sweden Application Deadline 9 Feb 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded
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., Meteorology, Atmospheric Physics, Chemical Eng., Physics, Mathematics, Aeronautics or any relevant PhD program. This eligibility requirement must be met no later than the time the employment decision is made
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Sweden Application Deadline 23 Feb 2026 - 22:59 (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 Is the Job
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learning; convex analysis; functional analysis; mathematical statistics; numerical analysis; programming; optimization; stochastic analysis; systems theory. What you will do You are expected to develop your
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decision is made Strong background in computational modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux
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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