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? No Offer Description Postdoc position: Modeling the Circular Economy The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a Postdoc to build a roadmap to net-zero for
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position in Energy System Modelling The Research Center for Energy Networks (Forschungsstelle Energienetze - FEN ) at ETH Zurich was founded in 2011 to address the need for independent, credible and applied
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industrial needs, we are looking for a postdoc holding a PhD in material science, physics or chemistry, with a clear link to X-ray based analytical methods, especially to X-ray diffraction and even more
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membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and microfluidic wet spinning produce membranes, fibers and particles for applications including
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. Empa is a research institution of the ETH Domain. In our research group, we transfer membrane and encapsulation strategies from academia to industry. Solution-based processes like electrospinning and
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks We are seeking a highly
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. The aim of the project is to extend cycle life by the controlled release of active lithium. Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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Preparation of results for publishing and presentation at conferences Development of models for health and environmental impact assessment Your profile We are looking for a candidate with: PhD in the area of
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characterization. Project background The highly interdisciplinary project is about the development, characterization, modeling, and application of micro-and nanoscale ultrasound contrast agents for molecular imaging