photo de profil d'un membre

Aurélien VADROT

Summary

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.

Professional experiences

Postdoctoral researcher

Aarhus University

Since 2. june 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

From July 2022 to February 2024

Postdoctoral researcher

Ecole centrale de Lyon

From October 2021 to June 2022

Turbulence modeling, Machine Learning

Doctorant en mécanique des fluides

Ecole centrale de Lyon , Ecully

From September 2018 to September 2021

Teaching

Ecole centrale de Lyon

From September 2018 to June 2022

Teaching in Engineering School - Fluid Mechanics, CFD, Turbomachinery

Phd

Ecole centrale de Lyon

From September 2018 to October 2021

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

Research assistant

Berkeley Lab

From October 2016 to August 2017

Development of tools for low-energy buildings facility.

Research assistant

EPFL

From May 2016 to July 2016

Modeling of displacement of renewable building piles.

Degree

Skills

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