Postdoctoral Researcher in Materials Science | Materials scientist (m/w/d)
INM - Leibniz-Institut für Neue Materialien gGmbH
Job Summary
This Postdoctoral Researcher position at the INM - Leibniz Institute for New Materials focuses on the 'RevEl' project, which aims to revolutionize energy storage through circular economy principles. The successful candidate will lead the development of fluorine-free nanocomposite binders to replace PTFE in dry battery electrodes, specifically focusing on 'debonding-on-demand' capabilities for direct recycling. Day-to-day responsibilities include engineering fibrillar composite architectures, developing industrially scalable processing routes, and conducting advanced structural characterization using techniques like SEM, SAXS, and rheology. The role requires a strong background in polymer science or composite engineering and the ability to establish complex structure-property relationships. This position is particularly attractive as it offers a three-year contract within a prestigious Leibniz Association institute, providing state-of-the-art infrastructure and strong integration into a national battery consortium, making it an ideal platform for high-impact scientific output and industry-relevant technology transfer.
Required Skills
Education
PhD in Materials Science, Polymer Science, Chemical Engineering, Mechanical Engineering (with a materials focus), or a related field.
Experience
- Professional experience in polymer-filler composite fabrication and laboratory research
- Demonstrated experience with advanced characterization techniques such as SEM, SAXS, DSC, or DMA
- Experience analyzing structure-property relationships in polymer and composite systems
- Proven track record of scientific output through peer-reviewed publications, patents, or technical reports
- Experience in independent experimental planning and structured project documentation
Languages
Additional
- The position is a 3-year fixed-term contract starting June 1st, 2026. Candidates must be able to work in Saarbrücken, Germany. Experience with FAIR data practices and industry-collaborative research is considered beneficial.
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