Hybrid Prognostics for Power Modules, Besançon

Association Bernard Gregory is offering a thesis opportunity to develop a family of hybrid models for prognostics at the FEMTO-ST institute in Besançon, France. This role aims to enhance predictions of component health under varied conditions through innovative research methods. The selected candidate will leverage machine learning and statistical modeling to tackle challenges in diagnostics, with specific tasks outlined to investigate, develop, and optimize algorithms and decision-support systems.

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