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/Qualifications - Automation or applied mathematics background, with a strong interest in physical models and numerical method - Analysis of partial differential equations, variational approach, Bayesian estimation
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-temporal modelling is central to the analysis of urban territorial transformations to capture new geographical knowledge. Mathematics can provide powerful modelling and representation solutions based
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 days ago
The candidate is expected to hold an M2 degree (Engineering degree, MRes, or equivalent) in applied mathematics or informatics. The candidate should have some experience in either: • In a computer simulation
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Arts et Métiers Institute of Technology (ENSAM) | Paris 15, le de France | France | about 1 month ago
14 Nov 2025 Job Information Organisation/Company Arts et Métiers Institute of Technology (ENSAM) Department Process and Engineering in Mechanics and Materials (PIMM) Research Field Mathematics
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14 Nov 2025 Job Information Organisation/Company IMT Atlantique Research Field Computer science Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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12 Dec 2025 Job Information Organisation/Company CNRS Department Equipes Traitement de l'Information et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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benches, the implementation of diagnostics, and data post-processing. - Experimental measurements in hydrogen combustion - Data analysis - Writing of reports and scientific papers The EM2C Laboratory (CNRS
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28 Oct 2025 Job Information Organisation/Company Université Grenoble Alpes Research Field Mathematics » Other Researcher Profile First Stage Researcher (R1) Country France Application Deadline 17
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions