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experimental data will be used to feed into numerical simulations using the Fire Dynamic Simulator (FDS) code, incorporating the kinetic models developed. The overall aim of the work is to gain a better
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afin de simuler des structures tridimensionnelles soumises à des chargements complexes. En parallèle, des approches d'identification et de réduction de modèles assistées par l'IA (réseaux contraints par
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study combining Direct Numerical Simulations (DNS) with global stability analysis, providing valuable insight into the instability mechanisms at play. However, such high-fidelity numerical approaches
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of the Alhambra and the Generalife. Project 2 — Machine learning for energetic-particle transport in thunderstorms This project explores machine-learning (ML) techniques to accelerate the numerical simula- tion
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systems, including coupling with external tools such as optical ray-tracing software (e.g., Tonatiuh++) and other numerical simulation platforms. Position Specific Responsibilities/activities: Develop
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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process techniques for the development of ion channel simulation schemes. Design, program and maintain the code necessary for these simulation models. Run numerical simulations. Provide support for
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» Simulation engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 18 Apr 2026 - 23:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Title of the project: “A numerical survey of the magnetisation
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: (i) the rarity of extreme events, which renders classical statistics inadequate; (ii) the uncertainty inherent in cascading effects; and (iii) the lack of confrontation between numerical models and