Data Scientist in The Field of Low-carbon Hydrogen - Grenoble, France - CEA - Commissariat à l'Energie Atomique

Sophie Dupont

Posté par:

Sophie Dupont

beBee Recruiter


Description

Domaine:

Mécanique et thermique


Contrat:


CDD

Intitulé de l'offre:

Data scientist in the field of low-carbon hydrogen production H/F


Statut du poste:

Cadre


Durée du contrat (en mois):
36


Description de l'offre:

Based on the acceleration of the technology deployment, a large amount of experimental is generated.

Advanced methods based on artificial intelligence algorithms are required to accelerate the analysis, control of the system and real time model implementation.


In this context, you will be integrated in the Solid Oxide Cell development team and will contribute to the development of an advanced database and specific scripts to analyze and optimize the understanding and control of the electrolyzers.


What you will do

  • Methodological work:
  • Understand the current workflow of current experimental data collection and the previous tool developed for analysis the data from the experimental test benches
  • Define and contribute to the development of an API to analyze the experimental data (web portal)
  • Participation to the SOCMS (Solid Oxide Cell Management System) architecture and definition
  • Collaborate and communicate with other team members to understand activities specificities and orient development of the methodology
  • Provide datadriven insights and recommendations to improve our activities
  • Numerical work:
  • Develop a generic workflow of data collection from the different experimental test beds, based on the existing dataset.
  • Develop predictive model and advanced algorithms based on IA to better understand the experimental data
  • Propose methods and algorithms for the SOCMS (diagnostic & prognostic)
  • Publish you work and disseminate on international conference

What you bring to the table:

  • Your PhD or experience in a relevant scientific domain : data science, IA computer science, statistics, mathematics,
  • Your experience and interest on data science dedicated to energetic transition (Matlab, Python);
  • Strong communication and collaboration skills
You ideally have a background on data science or knowledge of machine learning and artificial intelligence techniques


What you can expect:


  • In the heart of the Alps, an exceptional and internationally recognized, in a city committed to the environmental transition, a balance between private and professional life (50 days off/year), an active Works Council for leisure and extraprofessional activities;
  • Salary according to your qualifications and experience, access to a savings scheme funded by the CEA;
  • Industrialgrade facilities for research;
  • Participation to scientific conferences;
  • Training to strengthen your skills or acquire new ones.

Localisation du poste:


Site:

Grenoble


Localisation du poste:

France, Auvergne-Rhône-Alpes, Isère (38)


Ville:

Grenoble


Langues:

Anglais (Courant)


Demandeur:


Disponibilité du poste:

01/06/2023

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