photo de profil d'un membre

Aurélien VADROT

Résumé

As a PhD graduate in Fluid Mechanics and current postdoctoral researcher in this field, I want to transition to the energy industry after spending my last 6 years in academia. During that time, I gained valuable experience in complex problem solving, effective research communication, research projects supervision, and teaching. Growing in a more team-oriented environment is my main motivation for this transition. I am a very agile and self-reliant person, as can be seen from my previous experiences. My background is in Civil Engineering and Renewable Energy. My curiosity allows me to extend my competencies and to graduate in Fluid Mechanics with a focus on turbulence modeling and AI, areas far from my initial Master's competencies. I am highly efficient, proactive and innovative. I am fully engaged to serve the company and will quickly acquire the skills that will allow me to grow beyond my initial role. I am looking for a position in the Netherlands within a company in the energy sector. My ultimate goal is to develop into a Project Manager role.

Expériences professionnelles

Postdoctoral researcher

Aarhus University

Depuis le 02 juin 2022

Department of Mechanical and Production Engineering - Fluids and Energy
CFD, turbulence modeling, reinforcement learning, Physics-Informed Neural Networks.
Supervision of Master projects:
-> PINNs for flow field reconstruction.
-> Improvement of centrifugal pump design leveraging AI (Collaboration with Grundfos)

Postdoctorant

Aarhus University , Aarhus

De Juillet 2022 à Février 2024

Postdoctoral researcher

Ecole centrale de Lyon

De Octobre 2021 à Juin 2022

Turbulence modeling, Machine Learning

Doctorant en mécanique des fluides

Ecole centrale de Lyon , Ecully

De Septembre 2018 à Septembre 2021

Teaching

Ecole centrale de Lyon

De Septembre 2018 à Juin 2022

Teaching in Engineering School - Fluid Mechanics, CFD, Turbomachinery

Phd

Ecole centrale de Lyon

De Septembre 2018 à Octobre 2021

Turbulence modeling using Machine Learning to improve ORC turbines design.
Application to renewable ORC turbogenerator for renewable heat recovery.

Research assistant

Berkeley Lab

De Octobre 2016 à Août 2017

Development of tools for low-energy buildings facility.

Research assistant

EPFL

De Mai 2016 à Juillet 2016

Modeling of displacement of renewable building piles.

Parcours officiels

Compétences

Energy
Microsoft Office
Independence
Microsoft Excel
Computer Simulations
Git
OpenFOAM
Data Analysis
Scientific Papers
Scientific Communications
Teaching
Fundraising
Research Supervision
Reinforcement Learning
Renewable Energy
High Performance Computing (HPC)
Machine Learning
Computational Fluid Dynamics (CFD)
Fluid Mechanics
Python
Fortran
LaTeX
Matlab
R
University Teaching
Turbulence Modeling
Fluent