Phd position on Wall-pressure modeling for airfoil noise predictions with Direct Numerical Simulations and Interpretable Deep Learning

Objectives: The objective of this PhD are as follows: • To extend the training database with existing simulations (CD airfoil at 15 degrees of angle of attack) and new data. This includes performing high-fidelity simulations (LES/DNS) of new types of airfoils (e.g. Eppler E63 used in drones, RAE2822 supercritical airfoil for transonic flight) at different angles of attack, Reynolds and Mach numbers. • To modify the existing ML methodology to include the non-equilibrium effects of the boundary layer (pressure gradient, history effects) in the WPS modeling. • To identify the optimal inputs necessary for the robust modeling of WPS in different flow regimes All these steps should help in building more general WPS models, improving their accuracy and robustness. Candidate profile and preferred qualifications: We look for a person with a master's degree or equivalent in aerospace or mechanical engineering. Strong skills in aerodynamics, computational fluid dynamics (CFD) and programming (Python) are required. Previous experience with machine learning frameworks (Pytorch, Tensorflow, JAX) is a plus. We look for an autonomous person, motivated to work in an exciting inter-disciplinary research topic, using state-of-the art CFD techniques and data-driven methods. Starting date: During the year 2026, as soon as possible Funding and duration: 3-year funding. Co-supervision between Université de Sherbrooke and ISAESupaero Team and environment: The student will be under the supervision of Prof. Antonio Alguacil Cabrerizo (UdS), Prof. Stéphane Moreau (Uds) and Prof. Michaël Bauerheim (ISAE-Supaero). He will spend half the PhD at the Department of Mechanical Engineering of the Université de Sherbrooke (QC, Canada), and half in the Department of Aerodynamics, Energetics and Propulsion (DAEP) of ISAE-Supaero at Toulouse (France). Program: The candidate will be inscribed in 2 simultaneous PhD programs: • the Doctorate program in Mechanical Engineering of the UdS • the Doctorate program of the MEGEP doctoral school How to apply: Send an email to antonio.alguacil.cabrerizo[at]usherbrooke[dot]ca with your CV, motivation letter and extract of pass scientific contributions (e.g. master thesis, bachelor thesis, conference article, university research project, etc)