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for the turbomachinery design optimization process conducted by a parallel PhD student at LMFA. The numerical solver involved is ProLB. It is an innovative Computational Fluid Dynamics (CFD) software solution developed
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models of the process. Finally, this PhD research will contribute to advancing knowledge in the repair of high-value components and the reuse of mechanical systems. More broadly, it will support the
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completion of the PhD, the candidate will be fully familiar with the scientific research process and will have acquired the rigor, methodology, and technical expertise associated with it. Career prospects
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Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills/Qualifications Candidate skills: The PhD candidate should ideally have a background in physics and in physical chemistry of surfaces and
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Skills/Qualifications The PhD candidate should ideally have a background in engineering sciences, material sciences or physical chemistry. A culture in computer science, numerical simulations and data
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to apply. Interest in developing optimization-based methods and experience with Matlab are also valued. Specific Requirements Recruitment process Interested candidates are warmly invited to send an e-mail