Teaching : Aerodynamics and Fluid Mechanics
Le candidat assurera ses enseignements en français et en anglais au sein du Département Mécanique des Fluides-Aérodynamique de l’ENSMA (9 enseignants-chercheurs). Il devra fortement s’impliquer dans les cours, travaux pratiques, travaux dirigés et projets dispensés dans ce département. Il interviendra plus particulièrement dans les thématiques suivantes :
• Aérodynamique compressible et incompressible
• Mécanique des fluides
• Méthodes numériques, modélisation et simulation CFD d’écoulements turbulents
Le candidat sera d’autre part associé activement à la définition et à la mise en œuvre des objectifs pédagogiques du département et de l’établissement, et l’accompagnement et le suivi de projets d’étudiants.
Research : The research will take place in the team Acoustics, Aerodynamics and Turbulence (2AT) of the PPRIME Institute.
Profile of the candidate : The candidate should be an experienced researcher in the domain of computational fluid mechanics with a strong interest in aerodynamics and turbulence. He/she should
have experience in the development of reduced-order models for prediction, estimation and control. Scientific approach: The physical modelling of flows involving turbulent aerodynamics at high
Reynolds number is a key research activity at the Pprime Institute, and in particular with respect to the impact of these flows on observables such as drag, lift, structural vibration, vehicle stability, acoustic emissions,… With the rapid progression of experimental diagnostics and high-fidelity simulation, we have unprecedented access to the spatiotemporal organisation of these flows. To be useful for understanding, design, estimation or control, such data requires reduction and representation using reduced-order models, which may be linear, non-linear, model-based or data-driven. The candidate should have experience in the domains of computational fluid mechanics, and will be expected to bring his/her skills to the team so as to develop reduced-order modelling strategies adapted to turbulent, threedimensional flows involving complex geometries. These developments will be central in enhancing the synergy between experiments, computations and modelling. The candidate will be open to industrial or academic collaborations at a national or international level.
Laurent DAVID, Head of department “Fluids, Thermal science, Combustion” - Contacter
CNRS - Université de Poitiers – ISAE-ENSMA - UPR 3346
11 Boulevard Marie et Pierre Curie
Site du Futuroscope
TSA 41123
86073 POITIERS CEDEX 9
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CDD Technicien-ne électronicien-ne - 12 Mois - Catégorie B
POST-DOC (M/F) - Control by Machine Learning of bluff body wakes
At the CNRS-Laboratory PPRIME, based at the Futuroscope, this post-doctorate position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. Three-dimensional bluff-body wakes generate pressure drag and side forces and thus contribute significantly to the fuel consumption and pollutant emission of road vehicles. Despite this crucial impact and the numerous attempts to reduce harmful environmental effect of bluff body wakes by flow control it is still unclear what is the most efficient control strategy! In this context, the ANR project COWAVE addresses two fundamental aspects of wake control: - First, what kind of actuators are most efficient? While most closed-loop control strategies use viscous entrainment effects to actuate the shear layers in the wake, the exploitation of pressure forces produced by mobile deflectors could be an interesting alternative to be tested. - Second, for the implementation of closed-loop control, we want to test if control strategies obtained by machine learning techniques allow to obtain better efficiency and robustness than the more classical model-based approaches? The proposed Post-Doc position is part of the French ANR COWAVE program between the laboratories PRISME in Orleans, Pprime in Poitiers, LHEEA in Nantes and the PSA automotive industry. This Post-Doc position concerns the Pprime contribution to the COWAVE project which aims the experimental exploration of closed-loop wake control strategies with mobile flaps in a water tunnel facility. APPLY Follow link / Application Deadline : 12 March 2021 https://bit.ly/3qDG6Ml