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Dijoux E.DE

Dijoux E.

Hydrogen and Process Engineering Expert

€550/day
Toulouse, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Dijoux

I am a research engineer in hydrogen for fuel cell and water electrolyzer technologies. I completed a thesis at the Femto-ST laboratory on improving system reliability and on corrective actions for managing their health states. Before that, I completed a Master's degree in Automation and Operational Safety of Real-Time Systems in Toulouse.
I have published several scientific articles in English in international journals, and my work/activities have been peer-reviewed.
I am versatile, having had the opportunity to work in a start-up environment where I was responsible for innovation management, engineering, and writing technical documents related to our activities.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • Toulouse INP
    Research engineer on fuel cells systems
    May 2023 - Today (3 years and 1 month)
    Toulouse, France
    I'm currently working on fuel cell systems as a test engineer. I'm involved in setting up experimental benches of various power ratings. I'm also actively involved in hydrogen-related research projects.
  • Crea+Parts and Energy-Lab
    Post-doctoral researcher at Energy Lab and Crea+Parts
    May 2021 - May 2023 (2 years)
    Iceland

    - Works on fuel cells state of health and characterization
    - Works on fuel cells cooling and implementation
    - Implementation of a generic fuel cell diagnosis tool
    - Integration of a hybrid strategy based on a fuel cell system in an electric vehicle with an energy management system implementation. Used technologies : Matlab/Simulink, Labview
  • FC lab
    PhD student
    October 2015 - April 2019 (3 years and 6 months)
    Reunion & Co, Richmond, VIC, Australia
    Title : implementation of a fault tolerant control strategy on a proton exchange membrane fuel cell (PEMFC)
    - Bibliographical review on diagnosis, control and fault tolerant control for on fuel cell systems,
    - Implementation of a neural network based fault diagnosis tool,
    - Development of decision algorithm for the best fault mitigation strategies,
    - Development of a fault tolerant control strategy based on diagnosis, decision control tools,
    - Test of different faulty operating conditions on the fuel and experimental validation of the diagnosis tool
    - Validation of the new fault tolerant control strategy on each faulty conditions Used technologies : Matlab/Simulink, Labview, Fuel Cell Technologies test bench

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