PhD Position - Development of data-driven methods for turbulent combustion (R1)

Simulation of combustion systems on real applications such as engines or gas-turbines is an exceptionally computationally demanding problem. Access to cutting-edge supercomputers and the use of machine-learning with data-driven methods opens new frontiers in combustion simulation and encourages a revision of models and methodologies to harness the upcoming Exascale machines' full potential. Preparing the European combustion community for the exascale era is one of the main objectives of the Center of Excellence in Combustion (CoEC) - the European H2020 project gathering major players in HPC and Combustion Simulation - and this is the framework where this



The applicant will be integrated into the Propulsion Technologies Group (PTG) from the CASE department of BSC, which is directly involved in several projects related to clean propulsion and power generation. Besides the PTG, the applicant will join the ...