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Postdoc in Machine learning based data analysis to boost battery material research H/F


Détail de l'offre

Informations générales

Entité de rattachement

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.  

Référence

2022-24374  

Description de l'unité

The CEA's Laboratory for Innovation in New Energy Technologies and Nanomaterials (Liten) is one of the most important research centres in Europe for new energy technologies.
The mission of the Department of Electricity and Hydrogen for Transport (DEHT) is to accelerate and fasten the development of battery and PEM fuel cell technologies while bridging the gap between fundamental and industrial research. To that end, we develop characterization and simulation tools to address key issues related to the performance, aging and safety of battery materials, while having access to state of the art components. 
We benefit from the infrastructure of the department and CEA's computing cluster, are closely connected to the teams of the Grenoble Interdisciplinary Research Institute (Irig) of the CEA's Fundamental Research Division and are involved in the "Grenoble Battery HUB".

Description du poste

Domaine

Mathématiques, information  scientifique, logiciel

Contrat

Post-doctorat

Intitulé de l'offre

Postdoc in Machine learning based data analysis to boost battery material research H/F

Sujet de stage

The dynamic context of the “Grenoble battery HUB” is leading to produce large amount of high quality and unprecedented datasets, with high impact on the next generation of battery material. Data analysis and automation will be the driven force of this high scale project.

Durée du contrat (en mois)

24

Description de l'offre

Do you want your research to have a real impact on the energy transition? Then CEA-Liten is the ideal place for a post-doctoral position.

Our teams (1,000 people) are working with our industrial partners to develop the innovative solutions of tomorrow.

Your role? to give birth to the innovations of the day after tomorrow.

Nowadays, the energy related materials are made of advanced materials, which can be multi-layered, poly-phased including various chemistries, made of complex multi-scaled microstructures that can evolve with aging. The development of characterization techniques based on X-ray and neutron-based imaging (tomography) are key to deepen the understanding of the failure mode of these systems. In this context, large amounts of various tomographic data sets are produced, stressing the need to automatize and fasten their analysis through various techniques. 

You will have the opportunity to work in a stimulating scientific environment focusing on the characterization of both state of the art and latest generations of battery materials. Based on the 3D images or data sets produced from tomographic analysis and other technics, you as a post doc, will be directly in charge of the development and optimization of machine learning tools to fasten the analysis of large tomographic data sets. Innovative solutions and creativity will be at the very heart of the project.

 

 What you will do

  • Develop and optimize large data sets processing/segmentation based on machine learning software.
  • Propose new innovative AI-based tools for segmentation and image/data analysis automation.
  • Publish your work, possibly after having patented it.
  • Be part of the “CEA-ESRF battery HUB” team and contribute to its success

What you can expect

  • In the heart of the Alps, an exceptional and internationally recognised scientific ecosystem, in a city committed to the environmental transition "Grenoble European Green Capital 2022",
  • A balance between private and professional life (50 days off/year), an active Works Council for leisure and extra-professional activities,
  • Salary according to your qualifications and experience, access to a savings scheme funded by the CEA,
  • Industrial-grade facilities for research,
  • Participation to scientific conferences,
  • Training to strengthen your skills or acquire new ones.

Profil du candidat

What you bring to the table

  • Your PhD in Informatics and Image analysis / Mathematical morphology or equivalent
  • Key technical skills: Machine learning, U-net, Python-based programming, Image analysis softaware (ImageJ, Avizo, DragonFly), X-ray tomography (asset) or other synchrotron/large scale facilities techniques
  • Soft skills: rigour, creativity, autonomous, team spirit.

Interested? Apply online now. We look forward to getting to know you!

Localisation du poste

Site

Grenoble

Localisation du poste

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

Ville

GRENOBLE

Critères candidat

Langues

Anglais (Courant)

Possibilité de poursuite en thèse

Non

Demandeur

Disponibilité du poste

02/01/2023