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Uncertainty Quantification and Machine Learning in multi-vector energy systems. H/F job in Le Bourget-du-Lac at CEA

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Uncertainty Quantification and Machine Learning in multi-vector energy systems. H/F at CEA

Uncertainty Quantification and Machine Learning in multi-vector energy systems. H/F

CEA Le Bourget-du-Lac, Auvergne-Rhône-Alpes Full-Time
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INFORMATIONS GENERALES
ORGANISATION
Le Commissariat à l'énergie atomique et aux énergies alternatives (CEA) est un organisme public de recherche.

Acteur majeur de la recherche, du développement et de l'innovation, le CEA intervient dans le cadre de ses quatre missions :

. la défense et la sécurité

. l'énergie nucléaire (fission et fusion)

. la recherche technologique pour l'industrie

. la recherche fondamentale (sciences de la matière et sciences de la vie).

Avec ses 16000 salariés -techniciens, ingénieurs, chercheurs, et personnel en soutien à la recherche- le CEA participe à de nombreux projets de collaboration aux côtés de ses partenaires académiques et industriels.

REFERENCE
2022-22214

DATE DE PARUTION
20220617

DESCRIPTION DU POSTE
SPECIALITE / EMPLOI
CEA
Mécanique et thermique

INTITULE DE POSTE
Uncertainty Quantification and Machine Learning in multi-vector energy systems. H/F

DESCRIPTION DE LA MISSION
In a team composed of about twenty experts (energy systems modeling, operations research, machine learning, programming), you will work in the frame of a project on modeling and optimization of energy networks common to several CEA divisions.
 Your tasks:
• Conduct a bibliographic review focused on the types of surrogate models adapted to the processing of time series in the frame of energy systems analysis, and the associated uncertainty quantification methods.
• Conceive and run a proof of concept study for surrogate models uncertainty quantification in energy systems analysis on a test case.
• Publish the results in scientific journals and contribute to cooperation with French and International academics.
The laboratory is located in Le Bourget du Lac and in Grenoble. Travels to Saclay (Paris area) are expected. The position is based in Le Bourget du Lac.

PROFIL
You have a PhD in applied mathematics and have skills in scientific programming. You are interested in energy. You are familiar with at least one of the following topics, and would like to learn more about the others:
•       Machine learning
•       Uncertainty quantification
•       Energy systems
You are fluent in English. You bring creativity, enjoy teamwork and can undertake research projects autonomously.

TYPE DE CONTRAT STANDARD
Post-doctorat





LANGUES
Anglais (Courant)

 

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Job ID: 2022-22214