Annonces et offres d'emploi

Going back to Kolmogorov, there has been the paradigm in the more fundamental turbulence community of one universal state of homogeneous isotropic turbulence. In the last 15 years or so it has become more and more clear that this is not the case and that there can be several different states of turbulence, with transitions between these states. The transitions between the different states normally are of subcritical nature, just as the transition from laminar pipe or channel flow to turbulent pipe of channel flow. There, the origin of the subcritical nature is the nonnormality of the operator, combined with the nonlinearity of the Navier-Stokes equation. The nonnormality is intimately related to the local shear of the flow. All this also holds for turbulent flow, where one locally also has strong shear.

Multiphase flows are common in nature and engineering. Atmospheric flows often involve the dispersion of droplets or solid particulate matter (dust, sand, ice crystals in clouds); marine systems are populated by plankton, sediments or microplastics. Industrial applications of disperse flows include particle separators,filtration systems, atomisers and combustion devices, spray dryers, bubble columns; interfacial and free-surface flows are widespread in chemical and process industry.

Création de la Division Physique Non Linéaire (DPNL) de la Société Française de Physique (SFP)

Cet ouvrage présente les bases de la turbulence aux chercheurs en écologie marine, et les couplages de l’écologie marine avec la turbulence, aux chercheurs en turbulence provenant d’autres disciplines. Il s’adresse aux doctorants, jeunes chercheurs et chercheurs confirmés intéressés par ces deux sujets et leurs interactions.

The Leeds Institute for Fluid Dynamics is delighted to partner with the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge, the UK Fluids Network, and the Journal of Fluid Mechanics to deliver a regular webinar series on fluids-related topics.

Eligibility: Chinese citizens only due to the nature of the funding (CSC)Start date: September 2026 (for 3 years)Contact: julien.landel@univ-lyon1.fr

Contact: Gauthier Verhille

Eligibility: Chinese citizens only due to the nature of the funding (CSC)Start date: September 2026 (for 3 years)Contact: julien.landel@univ-lyon1.fr

Guided by asymptotic models and generalizing the approach employed recently for upright convection (van Kan et al JFM 2025), this work will use direct numerical simulations to analyze rapidly rotating Rayleigh-Benardconvection on the tilted f-plane by focussing on the transition to thegeostrophic regimes.

We will investigate the interaction between weakly inhomogeneous turbu-lence and sedimenting particles which are larger than the smallest flow structures. The objectiveis to determine the influence of particle size and concentration on both the particle motion andthe fluid flow. The study, which will be carried out in collaboration with a partner team in Franceperforming laboratory experiments, can be expected to generate unprecedented data-sets al-lowing for new insight into long-standing problems.

The work proposed will investigate the interaction of a single fluid vortex and a liquid/gas interface in various configurations through theoretical/numerical modelling and stability analyses.

This project is a postdoctoral proposal in the stochastic physics of turbulence aiming to analyze stylized models of multifractal transport and to assess their relevance for turbulent transport.

Dans le cadre du projet « MAchine LEArning for Fluid system efficiency » (MALEAF), soutenu par l’Agence Nationale de la Recherche, l’Ecole Navale recrute un chercheur post-doctorant en mécanique des fluides expérimentale, analyse et assimilation de données d’écoulement pour 2 ans.Mots clés : PIV, POD, assimilation de données, modèle d’ordre réduit, hydrofoils

The wind turbine production in a floating wind farm depends essentially on its position, the wind and the state of the sea. The influence of the state of the sea, in particular, is poorly known, because it has not been an influential factor in the development of installed wind farms. First of all, the influence of the movement of the platform directly affects the production capacity of the wind turbine. But beyond that, it induces significant modifications to the wake, and in the context of commercial farms, where the turbines are not widely spaced, leads to interactions between turbines which are still unknown. As Numerical simulations are very expensive, from numerical simulation and historical data, the environmental conditions can be modeled by stochastic models which are faster to simulate. hus, by combining these stochastic models with the physical model, it is possible to evaluate the uncertainty relating to the key parameters (extractable energy, wake topology).

https://rejoindre.onera.fr/detail-poste?nPostingId=1327&nPostingTargetId=5036&id=P6VFK026203F3VBQB68LOF6Z3&LG=FR⟨uageSelect=FR

Le laboratoire J.A. Dieudonné souhaite recruter un.e Maître.sse de conférence pour renforcer son potentiel en recherche en mathématiques appliquées, avec un profil prioritairement orienté vers l’analyse numérique et le calcul scientifique.

Ingénieur de Recherche et Innovation en calcul scientifique multi-physique, simulations hybrides et optimisation appliqués au secteur naval F/H

Patrick Bot

Partially-magnetized E×B plasmas, where electrons are magnetized but ions are not, are key to technologies like Hall thrusters and ion sources for neutral beam injection for fusion. These plasmas host electrostatic instabilities (e.g., gradient-drift, lower-hybrid, electron cyclotron drift, modified two-stream) that can lead to wave turbulence. This project aims to study wave turbulence-driven transport with a pseudo-spectral solver. The focus is on understanding large-scale structure formation and the impact of parameters like gradients and boundaries. Results will be validated against kinetic simulations and will be used to assess the impact of the turbulent transport into macroscopic quantities as compared to experiments of electric propulsion thrusters.

E. Negretti, O. Marchand

Pascale Bouruet-Aubertot, Yannis Cuypers, Julien Lenne

V. Resseguier (INRAE), W. Antolin (INRAE), F. Dupuy (AgriOdor)

Romain Monchaux (ENSTA Paris), Romain Volk and Mickaël Bourgoin (ENS Lyon)

Machine Learning for the Control of Collective Dynamics in Particle-Laden Flows

Des microparticules déposées sur des surfaces et soumises à des flux d’air peuvent être remises en suspension. L’objectif du stage est de modéliser par les processus de Hawkes à partir de données d’expériences en laboratoire, la fraction de particules réémises en fonction de leurs propriétés, de leur mode de dépôt et des conditions de flux d’air. De manière générale les résultats doivent améliorer la prédiction et le contrôle des risques de contamination aéroportée, qu’elle soit d’origine inerte, chimique, biologique ou radioactive. Les microparticules étudiées dans ce stage sont pour le moment choisies pour leur adaptabilité aux conditions expérimentales mais à terme l'idée est d'élargir le spectre et d'aller vers des bioaérosols. Plus spécifiquement, cette recherche s’inscrira dans une démarche de réduction des risques liés à la propagation de spores ravageurs des cultures.

Bruno Issenmann et Christophe Pirat, en collaboration avec Guillaume Ricard (ENS Lyon) et Éric Falcon (Univ. Paris Cité)

Eletta Negretti

Eletta Negretti

Felipe Alves Portela, Ariane Emmanuelli