General information
Organisation
The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.
Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.
The CEA is established in ten centers spread throughout France
Reference
2024-33354
Description de l'unité
The LCRE laboratory develops components for ultra-high-speed radiofrequency applications and all-solid-state energy storage and micro-sources.
Position description
Category
Micro and nano technologies
Contract
Internship
Job title
Internship – M2 – Physical modelling and Machine Learning for microbatteries – Grenoble, France
Subject
In a constantly evolving context, you will be working on the development of a physical model supported by machine learning to study the performance of microbatteries.
Contract duration (months)
3 à 6 mois
Job description
As a CEA intern, you will have the opportunity to work in a world-renowned research environment. Our teams are made up of passionate and dedicated experts, providing a stimulating environment for learning and collaboration. You'll have access to state-of-the-art equipment and first-rate research resources to carry out your missions.
CEA-Leti provides integrated microstorage solutions, including solid-state microbatteries. Solid-state microbatteries are among the most promising microstorage technologies for applications in fields as diverse as implantable medical devices and the Internet of Things. This work has given rise to a start-up, InjectPower, whose aim is to industrialize microbatteries for implantable medical devices (CEA-Leti - Injectpower, energy for implantable devices (leti-cea.fr)).
Job description:
The physical mechanisms involved in the operation of a microbattery are still poorly understood and modelled. To study these components, CEA has a manufacturing and characterization platform dedicated to lithium components.
The aim of this internship is to develop a physical model to describe battery performance (voltage, power output) according to conditions of use. The proposed methodology involves :
1. Use the 15,000 batteries per wafer as test vehicles. Measurements taken during battery cycling are recorded in a database.
2. Code data processing programs based on machine learning and Bayesian inference methods to highlight optimal cycling protocol parameters. This feedback then feeds into the physical model (validation/understanding/exploration).
3. Iteration with manufacturing and electrical testing of new battery architectures/designs.
For the modeling part, the student will be able to rely on a model describing first-cycle operation (see physical model paper reference). For the database part, a database is under construction and is already fed by electrical tests. A machine learning analysis tool is also under construction to improve the analysis of cycling measurements.
Within the LCRE, you will work with a team of 10 people.
You will add your touch to missions such as :
· electrical and electrochemical measurements of microbattery performance,
· database generation,
· programming (python or other),
· simulation using physical models,
· development of physical models.
·
Subjects can be discussed depending on your school's expectations.
Possibility of pursuing a thesis after the internship.
Methods / Means
comsol / python / R
Applicant Profile
What do we expect from you?
You are preparing a master degree in solid state physics, semiconductors, complex systems or micro technologies.
You're passionate about scientific and technological research, and have a solid theoretical grounding and knowledge of programming and data science.
Come and join us, develop your skills and acquire new ones!
Still in doubt? We can offer you :
· The opportunity to work within a world-renowned organization in the field of scientific research,
· A unique environment dedicated to ambitious projects that address today's major societal challenges,
· Experience at the cutting edge of innovation, with strong potential for industrial development,
· Exceptional experimental resources and top-quality supervision,
· Real career opportunities at the end of your internship
· A position in the heart of the Grenoble metropolitan area, easily accessible via the soft mobility encouraged by the CEA,
· 85% contribution to public transport costs,
· A recognized work-life balance,
· A company restaurant,
· A diversity and inclusion policy,
· An active CSE in terms of leisure and extra-professional activities.
All our positions are open to people with disabilities. CEA's Mission Handicap can help you make the necessary adjustments.
#NumericalSimulation
#Nanotechnology
Position location
Site
Grenoble
Job location
France, Auvergne-Rhône-Alpes, Isère (38)
Location
GRENOBLE
Candidate criteria
Languages
English (Fluent)
Prepared diploma
Bac+4 - Master 1
PhD opportunity
Oui
Requester
Position start date
01/01/2025