Postdoc : Contribution of Artificial Intelligence - Sophia Antipolis, France - Centre de Mise en Forme des Matériaux (CEMEF)

Centre de Mise en Forme des Matériaux (CEMEF)

Entreprise vérifiée

Sophia Antipolis, France

il y a 1 semaine

Posté par:

Sophie Dupont

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Description

CEMEF is a research lab.

of MINES ParisTech I PSL University associated with CNRS, the French National Centre for Scientific Research (Unité Mixte de Recherche CNRS, UMR7635).

Overall, our missions are research and training in collaboration with industry.

Our research focuses specifically on materials and their transformation processes in the broadest sense. It extends additionally to other fields such as fluid mechanics, biomechanics or HPC for instance. On the other hand, our training programmes offer post-graduate courses related to our scientific fields of expertise. Furthermore, we are attentive to the scientific needs of industry and we set up research projects with industrial companies.

Site web:

Poste et missions:

The project aims to leverage the use of artificial intelligence (AI) tools and machine learning (ML) to facilitate decision-making regarding the selection of coatings compatible with the environment and specificities of electric vehicles [2-3-4].

The first phase of the project involves a comprehensive analysis of available ML/AI methods, examining their applicability, strengths, and limitations in relation to tribological scenario requirements.

An automatic reading tool for publications and patents will be implemented to extract literature data.

In the second phase, the project aims to validate and organize data into databases based on selected scenarios. Accuracy, reliability, and data consistency are essential to ensure result precision.

Data quality improvement will be achieved using standardized methods for testing and data collection.

The third phase will involve the implementation of AI/ML algorithms using the previously obtained data.

Finally, based on the AI/ML results, laboratory experiments will be proposed to validate and enrich the databases while strengthening the machine learning algorithm.

Mobilité géographique:

Pas de déplacement
Prise de fonction:
18/03/2024
Profil:

The following are some characteristics that may align well with the position:

You should be a highly motivated researcher with expertise in some of the following areas: Machine Learning, Data Analysis, Python language and libraries
You are expected to have a Ph.

D. degree in Mechanical Engineering, Computer Science, Applied Mathematics or related field