Context And Mission

Over the past two decades, Computational Fluid Dynamics (CFD) has become the cornerstone of engineering design and optimization in the aerospace industry, with application in external aerodynamics, gas turbine engines and supersonic combustion, among others. Its widespread industrial adoption has been supported by Reynolds-Averaged Navier-Stokes (RANS) coupled with turbulence models, which offer a practical balance between predictive accuracy and computational cost, and by their integration with optimization algorithms for automated design. However, advances in physics-informed neural networks (PINNs), machine learning (ML) methods and high-performance computing (HPC) offer opportunities to accelerate this process. Combining simulation data with governing equations can enable predictive surrogate models and support efficient optimization, with candidate designs verified through CFD.
This position offers the opportunity to contribute to cutting-edge developments at the intersection of aerospace engineering, computational physics, artificial intelligence,



and high-performance computing, with direct relevance to future propulsion technologies.
The research team that the applicant will be involved is the Propulsion Technologies Group within the CASE Department at BSC. The team is a multidisciplinary group with researchers from all disciplines and with a strong background in Computational Fluid Dynamics (CFD). The team is involved in many EU and industrial projects related to this topic, where the successful activities and the publications in highly ranked scientific journals give the proved expertise.

Key Duties
- Development of a computational framework for scramjet intake
- Design and optimization for heterogeneous computing architectures , integrating CFD, physics-informed machine learning, and automated geometry exploration
- The work will involve:
Developing geometry parametrization and automated workflows for mesh generation and CFD simulatio

📌 Undergraduate Student – Computational Fluid Dynamics (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona