Organisation/Company: CNRS
Department: Laboratoire de réactivité et chimie des solides
Research Field: Chemistry, Physics, Technology
Researcher Profile: Recognised Researcher (R2)
Country: France
Application Deadline: 29 Nov 2024 - 23:59 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 35
Offer Starting Date: 1 Feb 2025
Is the job funded through the EU Research Framework Programme? Horizon Europe
Is the Job related to staff position within a Research Infrastructure? No
Offer Description The manufacture of rechargeable battery electrodes is a complex process involving numerous steps and parameters. Its optimization requires a significant effort, based on the analysis of parameters (e.g., electrode ink formulation, calendering pressure applied to the resulting electrode) and how they impact electrode properties (porosity, conductivity).
This postdoctoral position consists of contributing to the development of innovative numerical tools for optimizing the manufacturing process of these electrodes. The candidate will join Professor Alejandro A. Franco's team, who has been working on the digitization of battery manufacturing for the past ten years. This internationally-renowned team is based at the Laboratoire de Réactivité et de Chimie des Solides (LRCS), a member of the Réseau sur le Stockage Electrochimique de l'Energie (RS2E).
The candidate will work on the numerical simulation of the manufacturing process for rechargeable battery electrodes. To this end, the candidate will use discrete element and coarse-grained molecular dynamics methods to predict the influence of manufacturing parameters on electrode properties. The candidate will also use machine learning and deep learning approaches to process data from numerical calculations. The results obtained will be compared with experimental results obtained on the RS2E/LRCS battery prototyping line.
At the Energy Hub, the LRCS is home to over 130 people of 25 different nationalities, working mainly on electrochemical energy storage (batteries) and energy conversion technologies. The RS2E, a leader in this field, enjoys strong scientific recognition.
Expected Skills: numerical simulation, discrete element methods, machine learning, materials, electrochemistry, physics, physical chemistry, team spirit, creativity, dynamism.
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