Offre de thèse : Data-driven reduced-order modelling of urban canopy ﬂow
Start: September/October 2023
The candidate must have a Master’s degree or an engineering degree with skills in fluid mechanics. Knowledge in turbulence, turbulent boundary layers and/or atmospheric surface layer are also welcome. A particular interest in experimental fluid mechanics, optical diagnostics in fluids and signal processing will be appreciated. As a great part will be mainly experimental with generation of large databases, good practical sense and organisation are required, as well as autonomy, curiosity and creativity. An advanced level of scientific and technical English and good written and oral communication skills are required.
Candidature [CV, lettre de motivation, références] à envoyer à :