Job FTC: Associate Professor Position – ISAE-ENSMA – Analysis and modelling of high-Reynolds-number, turbulent aerodynamics.

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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.

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.

Peter JORDAN, 2AT research team - Contacter
Laurent DAVID, Head of department “Fluids, Thermal science, Combustion” - Contacter
Institut Pprime
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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