Researcher in Soot Modeling with Machine Learning

hace 4 semanas


Barcelona, Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo
About the Role

We are seeking a highly skilled Researcher to join our Propulsion Technologies Group at the Barcelona Supercomputing Center (BSC). The successful candidate will be responsible for developing and implementing soot modeling techniques based on Machine Learning algorithms.

Key Responsibilities
  • Develop and implement soot modeling techniques using Machine Learning algorithms
  • Conduct computational studies on the interaction between turbulent combustion and soot formation
  • Analyze and interpret simulation results, comparing them with available experimental data to assess model accuracy
  • Collaborate with researchers at partner institutions, including data sharing and publishing results in high-impact publications
  • Participate in the preparation of grant proposals and project reports
Requirements
  • PhD or Master's degree in Computational Fluid Dynamics, Mechanical Engineering, Chemical Engineering, Applied Physics, or a related field
  • Expertise in developing and implementing soot modeling techniques using Machine Learning algorithms
  • Deep understanding of turbulent combustion processes and their interaction with soot formation
  • Experience with computational studies, simulation tools, and techniques for fluid mechanics and combustion modeling
  • Proficiency in analyzing and interpreting simulation results, particularly in comparing them with experimental data to validate models
What We Offer

The successful candidate will join a dynamic and international team at the BSC, working on cutting-edge research projects. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.



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