CENTRALE LYON - PhD Multi-fidelity optimisation of transonic and transcritical CO2 turbomachines

The PhD candidate will conduct research on multi-fidelity optimization of transonic and transcritical CO2 turbomachines for the recycling of industrial waste heat. The project involves combining numerical tools with multiple levels of accuracy to design the turbomachines used in the reversible Brayton cycle-based system.

Requirements

• Engineering or Master graduate degree
• Strong background in fluid mechanics and numerical flow simulation
• Prior experience in CFD and/or CFD code development (e.g. Python, Fortran, C++)
• Team player, creative but thorough

Benefits

• PhD research project
• Joint supervision by experienced researchers
• Regular meetings to support research progress
• Stimulating research environment
• Opportunity to work on a growing team on turbomachines for renewable energies