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Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. The aim of the project is to extend cycle life by the controlled release of active lithium
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of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid deposition and automated multi-technique characterization. Within the Swiss-Polish innovation
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computational models and collaborate closely with lab teams. Publish research findings, present at conferences, and support PhD students. Help shape new research proposals and assist in securing funding. Your
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relevant to one of the above working areas in the letter of motivation. Your profile PhD in Materials Science, Mechanical Engineering, Chemistry, or a related discipline Strong background in one or more of
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with electron spin resonance (ESR) capabilities. Your profile We are looking for a highly motivated experimentalist who meets the following criteria: PhD in Physics, Nanoscience, Quantum Science
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deposition and automated multi-technique characterization. Within the Swiss-Polish innovation project “DepoIon”, we develop physical vapor deposition (PVD) process control for solid state battery relevant
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industrial partner, you will design and implement innovative architectures for real-time detection and control of laser processes. This interdisciplinary role combines artificial intelligence and machine
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. Empa is a research institution of the ETH Domain. Empa’s Laboratory Materials for Energy Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies
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, contributing to scientific publications, project deliverables, and stakeholder engagement activities Your profile PhD in energy systems, sustainability science, engineering, socioeconomics (with a focus on
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, presentations and scientific publications Your profile You have a PhD degree (or equivalent) in Acoustics or Electrical/Mechanical Engineering or Computer Science. Experience with scientific computing in Matlab