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EURAXESS

POSTDOC : Contribution of Artificial Intelligence and Machine Learning Tools in the Selection of Tribological Coatings for E-Mobility

ABG  - Association Bernard Gregory
17 Feb 2024

Job Information

Organisation/Company
Centre de Mise en Forme des Matériaux (CEMEF)
Research Field
Technology » Materials technology
Computer science » Digital systems
Engineering
Researcher Profile
Recognised Researcher (R2)
Leading Researcher (R4)
First Stage Researcher (R1)
Established Researcher (R3)
Country
France
Application Deadline
Type of Contract
Temporary
Job Status
Full-time
Offer Starting Date
Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?
No

Offer Description

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.

 

see more here :  https://www.cemef.minesparis.psl.eu/wp-content/uploads/2024/02/postdoc-…

 

Requirements

Specific Requirements

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

- You should possess good English Language skills

- Working knowledge in Tribology or Surface Process will be appreciated

 

Contact : Imène LAHOUIJ : imene.lahouij@minesparis.psl.eu

 

Additional Information

Work Location(s)

Number of offers available
1
Company/Institute
Centre de Mise en Forme des Matériaux (CEMEF)
Country
France
City
Sophia Antipolis
Geofield