Objective: By providing the first 3D images of PFAS-free ionomer distribution in electrodes, your work will give manufacturers the key insights needed to build high-performance, eco-friendly electrodes.
Context: Water electrolysers and fuel cells are key technologies for the green energy transition. To reduce environmental impact, the current perfluorinated PFAS-type ionomers used in these systems are being replaced by fluorine-free alternatives, particularly in electrodes (nanoporous materials composed of a catalyst and an ionomer). However, PFAS-free electrodes currently exhibit lower performance, likely due to unknown differences in their 3D ionomer distribution. Building on our group's pioneering work in using electron tomography to characterize the 3D distribution of ionomer in electrodes, this internship aims to advance this cutting-edge methodology to visualize PFAS-free ionomers and guide electrode design.

Your main responsibilities will include:
• Data Acquisition: Participating in electron tomography acquisitions led by our team to gain a comprehensive understanding of the characterization process.
• 3D Image Processing & Analysis: Actively contributing to 3D image reconstruction, segmentation, and quantitative analysis.
• Method Optimization & Automation: Developing strategies to optimize and automate image processing steps to enhance image quality and speed up data analysis.

You have completed a five-year degree (engineering or Master’s) and are looking for a six-month work placement that will enable you to complete your degree

Scientific skills  : Digital Image Processing & Data Analysis
Skills : Materials Science or Electrochemistry

Vous êtes reconnu(e) pour votre : sens de l'analyse, rigueur, force de proposition, autonomie,"

You are recognised for your: analytical skills, attention to detail, ability to come up with new ideas, and independence,