24 months

Postdoctoral Research Position 2026 : Resolvent Modelling of Jet Noise

[TheChamp-Sharing]
Building on recent advances in mean-field-based linearised models for turbulent jet dynamics and aeroacoustics, the 2AT group has developed resolvent-based tools for jet-noise modelling, estimation, and control. The successful candidate will use these tools—working in collaboration with Airbus and 2AT researchers—to develop a predictive model for sound radiation associated with the dominant resolvent modes, explicitly accounting for decoherence effects arising from two-point turbulence statistics. This framework will initially be validated on axisymmetric jets and subsequently applied to fully three-dimensional cases.
Peter JORDAN - Contacter
Institut Pprime, Poitiers Futuroscope

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12 months

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