Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
in the following activities: a) Wind tunnel testing campaign. b) 2D URANS modelling. c) 3D LES modelling d) Postprocessing of experimental and numerical results. Where to apply Website https
-
expertise in aerodynamics, aircraft dynamics and control, composite airframes, advanced aircraft propulsion systems, avionics with a demonstrated potential to form a research program that incorporates recent
-
are particularly eager to hear from candidates working in experimental electrical engineering research, or in fluid mechanics with applications associated with the energy, aerospace or vehicle aerodynamics sectors
-
aerodynamics, propulsion, and nuclear fusion; b) multi-scale and multi-physics simulation, with applications in fluid dynamics, structural mechanics, or coupled aero-thermo-mechanical systems; c) development
-
), renewable for 4 years. Informations Only applications submitted through the online platform are considered: https://careers.epfl.ch/job/Lausanne-PhD-positions-Experimental-unsteady-fluid-and-vortex-dynamics
-
using ProLB [3], an LB method software developed at LMFA in collaboration with other academic and industrial partners, including Renault, Safran and Airbus. Tail-shake can be described as the aerodynamic
-
aerodynamics, propulsion, and nuclear fusion; b) multi-scale and multi-physics simulation, with applications in fluid dynamics, structural mechanics, or coupled aero-thermo-mechanical systems; c) development
-
are particularly eager to hear from candidates working in experimental electrical engineering research, or in fluid mechanics with applications associated with the energy, aerospace or vehicle aerodynamics sectors
-
Qualification Framework level 12 (PhD) in related discipline, normally experimental aerodynamics or fluid mechanics with a growing reputation in research; and/or relevant teaching experience within
-
experimental validations. Training an AI agent using both generated data and engineers’ evaluations of design trials. Deploying the trained model in increasingly complex representative environments