Post-doc: Linking electrical and optical sensing data in batteries (M/F)

Organisation/Company

CNRS

Department

Chimie du solide et de l’énergie

Research Field

Chemistry » Physical chemistry
Chemistry » Computational chemistry

Researcher Profile

First Stage Researcher (R1)

Country

France

Application Deadline

29 Mar 2024 – 23:59 (UTC)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

1 Apr 2024

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

Li-ion batteries play a central role in the ongoing transition from fossil fuels to renewable energy, as an efficient energy storage device. Our increasing dependence on batteries calls for an improvement with their cycle life and safety. It calls for more detailed analysis on certain parameters upon cell ageing, such as temperature, pressure, strain etc. In this note, battery diagnostics with inserted optical fibre Bragg grating (FBG) sensors has yielded exciting results as it can be used in large scale systems without affecting the cell performances. Huge developments have been reached in our laboratory in understanding different phenomenon such as SEI formation, electrolyte degradation, material’s property etc using these FBGs or tilted FBGs (TFBG). With all these analyses, the integration of optical sensing data is a key part in maximizing battery performance and sustainability, but at a prohibitively high cost. It is thus proposed to use the optical sensing expertise developed in our group to train a machine learning (ML) model that can extract the same information but with conventional electrical sensing, thus ‘bypassing’ the expensive optical instruments. The post-doc will thus engage in developing ML model to predict degradation mechanism of different Li-ion cells from coupled optical and electrical sensing.

The experiments will be carried out in cylindrical cells (18650) or “pouch” cells. Sensors will be integrated into cells to track temperature, pressure and chemical reactions. The electrochemical behavior will be monitored in parallel with the evolution of the sensors. The results obtained will be used to feed the machine learning algorithm which will be developed during the post-doctoral period.

Majority of the work will be carried out in Chimie du solide et énergie at Collège de France, Paris. Few travels to other laboratories in RS2E network is expected based on the requirement.

Requirements

Research Field

Chemistry

Education Level

PhD or equivalent

Research Field

Chemistry

Education Level

PhD or equivalent

Languages

FRENCH

Level

Basic

Research Field

Chemistry » Physical chemistry

Years of Research Experience

None

Research Field

Chemistry » Computational chemistry

Years of Research Experience

None

Additional Information
Eligibility criteria

Candidates should have strong background in optic together with knowledge in signal processing and treatment algorithms.

Website for additional job details

https://emploi.cnrs.fr/Offres/CDD/UMR8260-SATMAR-007/Default.aspx

Work Location(s)

Number of offers available

1

Company/Institute

Chimie du solide et de l’énergie

Country

France

City

PARIS 05

Geofield

Where to apply

Website

https://emploi.cnrs.fr/Candidat/Offre/UMR8260-SATMAR-007/Candidater.aspx

Contact

City

PARIS 05

STATUS: EXPIRED