PhD Researcher in High-Order Methods for Hydrogen Combustion

hace 2 días


Barcelona, Barcelona, España Barcelona Supercomputing Center A tiempo completo

Job Summary

The Barcelona Supercomputing Center is seeking a highly motivated PhD researcher to join our Propulsion Technologies Group (PTG) and contribute to the development of high-order numerical methods for simulating hydrogen combustion. The successful candidate will work on the optimization of an in-house compressible solver and extend the capability of the CFD solver with multicomponent transport and combustion models based on finite rate chemistry.

About the Project

The proposed research project aims to investigate the combustion characteristics of hydrogen, a promising alternative fuel for a sustainable future, by employing high-order methods and leveraging the power of High-Performance Computing (HPC) architectures, specifically Graphics Processing Units (GPUs). The project will focus on the development and application of high-order numerical methods using HPC and GPUs for simulating hydrogen combustion.

Key Responsibilities

  • Developing advanced numerical methods for reacting flows using spectral elements
  • Investigating the fundamental combustion characteristics of hydrogen, including ignition, flame propagation, and extinction phenomena, using high-order numerical methods
  • Developing and optimizing computational algorithms specifically tailored for GPU architectures, enabling efficient utilization of HPC resources for large-scale hydrogen combustion simulations

About the Team

The Propulsion Technologies Group (PTG) is a research group from the Computer Applications in Science and Engineering (CASE) Department at the Barcelona Supercomputing Center. As part of the PTG, the successful candidate will form part of a multidisciplinary team of researchers with a strong background in Computational Fluid Dynamics (CFD) applied to high-fidelity simulations for the development of clean propulsion and power generation systems.

Requirements

The ideal candidate should have a strong background in Computational Fluid Dynamics (CFD) and experience with high-order numerical methods. Knowledge of GPU architectures and HPC resources is highly desirable. The candidate should also have excellent communication and teamwork skills.



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