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# Flight Physics Capabilities - Computational Fluid Dynamics Engineer (M/F)

- **Company:** Airbus S.A.S.
- **Location:** Toulouse, France
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computational Fluid Dynamics, Software Debugging, Python (Programming Language), Object-Oriented Software Development, Coda
- **Published:** September 17, 2026
- **Apply:** https://ag.wd3.myworkdayjobs.com/Airbus/job/Toulouse-Area/Flight-Physics-Capabilities---Computational-Fluid-Dynamics-Engineer--M-F-_JR10437845

## About the Role

* Minimum 3 years of industrial experience in Computational Fluid Dynamics methods in aerodynamics (transonic flows and propeller configurations).
 * Mandatory mastery of advanced object-oriented languages like Python or C++.
 * Strong knowledge and practical experience of the CODA Computational Fluid Dynamics chain and ANSA Meshing tool.
 * Proven ability to perform advanced internal and external flow studies (RANS, URANS, LES) including geometric preparation, meshing, analysis, and post-processing.
 * Ability to install, deploy, and maintain Computational Fluid Dynamics tools, as well as develop and debug advanced Python scripts in an industrial environment., This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.

## Description

* Contribute to the industrialisation and validation of next-generation in-house Computational Fluid Dynamics capabilities.
 * Ensure full end-to-end technical support (ANSA Meshing, CODA Computational Fluid Dynamics runs, post-processing) for our transnational end-users.
 * Develop complex applications in aerodynamic, aero-elastic, and aero-acoustic simulations interacting directly with aerodynamic shape design customers.
 * Interact with key R&D partners, external research establishments, and collaborate closely within a transnational capabilities team (Europe and India).
 * Supervise PhD students and assess Computational Fluid Dynamics tools by benchmarking COTS or developing Proofs of Concept (PoC).


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