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Field
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
-controller. The second direction concerns the development of efficient numerical algorithms for workspace computation and characterization, considering tools developed in the applied mathematics field such as
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- 12:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Sep 2027 Is the job funded through the EU Research Framework Programme? Horizon Europe – COFUND
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Re-contract research program focuses on the idea of the social
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reservoir computing measurement setup, high frequency NEMS characterization platform, numerical simulators, and multiphysics environment. The recruited Postdoc will be trained and technically supported by
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
Framework Programme? Horizon 2020 Reference Number 2026-10312 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Odyssey team is offering a 12 month position on
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, acoustics, micro- and nanotechnology. We offer reservoir computing measurement setup, high frequency NEMS characterization platform, numerical simulators, and multiphysics environment. The recruited Postdoc
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research project or operation The SAGE Research
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Deadline 12 Oct 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a
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heat transfer processes Use of advanced numerical methods (CFD, LBM, hybrid models) Utilization of high-performance computing (HPC, GPU) Analysis and validation of numerical results Optimization
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modelling and partial differential equations; • an understanding of Carleman linearisation approaches and/or the Koopman–von Neumann formulation; • the ability to develop and analyse numerical methods