Researcher Development of Soot Models Using Machine Learning Algorithms
hace 1 mes
About the Role:
We are seeking a highly skilled researcher to join our team at the Barcelona Supercomputing Center (BSC). The successful candidate will be responsible for developing and implementing soot modeling techniques based on machine learning algorithms. The researcher will work closely with our team to conduct computational studies on the interaction between turbulent combustion and soot formation, analyze and interpret simulation results, and collaborate with researchers at partner institutions.
Key Responsibilities:
* Develop and implement soot modeling techniques using machine learning algorithms
* Conduct computational studies on turbulent combustion and soot formation
* Analyze and interpret simulation results
* Collaborate with researchers at partner institutions
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
What We Offer:
* A dynamic and collaborative work environment
* Opportunities for professional growth and development
* A competitive salary and benefits package
How to Apply:
If you are a motivated and experienced researcher looking for a new challenge, please submit your application, including your CV and a cover letter, to [insert contact information].
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