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/Qualifications PhD in Mechanical Engineering, Electrical Engineering, Physics, Aerospace Engineering, or related fields. Strong background in MEMS sensors, instrumentation, or microfabrication. Experience with
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modal identification. The approaches were tested in light fluids by decoupling the analysis of random ambient noise from mechanical and acoustic sources. The aim of the present post-doctorate is to
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flow, and a theoretical/numerical part on “fluid mechanics” focusing on transport by complex flows (e.g., turbulent flows). Depending on the profile of the person recruited, their activities will
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. Knowledge in fluid mechanics would be a plus Proficiency in Python (at least, one among: Julia, Matlab, or R) Knowledge n Fortran (or C) Being comfortable with version control and code sharing tools (git
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Eligibility criteria • PhD in thermal sciences or fluid mechanics. • Skills in optics, thermal sciences, and physical instrumentation. • Strong interest in team work. Website for additional job details https
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: - Scientific curiosity, creativity, pragmatism - Experience in numerical modelling - Experience in inverse modeling - Knowledge of deep Earth geophysics - Knowledge of geophysical fluid mechanics - At ease with
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LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria -Background in physics/fluid mechanics -Background in
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The candidate must hold a PhD in physical oceanography, meteorology, climate science or geophysical fluid mechanics. The position requires good oral and written communication skills (French and English required