14 scholarship-vacancy-for-phd-in-computational-physics PhD positions at Empa in Switzerland
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conversion. Our research is at the interface between fundamental quantum physics, thermodynamics, nanotechnology, and nanofabrication. Project background This project aims to harness the remarkable properties
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(finite element modeling, computational fluid dynamics), and proven experience with COMSOL Multiphysics. Knowledge of heat and mass transport processes in heat-sensitive materials and process optimization
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. Empa is a research institution of the ETH Domain. Empa's Laboratory of Biomimetic Membranes and Textiles is a pioneer in physics-based modeling at multiple scales. We bridge the virtual to the real world
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chemical and physical surface functionalization. The goal of the PhD project is to investigate how enzymes can be encapsulated in biocomposites to control both the assembly or crosslinking of biopolymers as
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cathodes in solid-state thin-film batteries. Your tasks We are looking for a motivated PhD candidate, who is eager to pursue hands-on, exploratory PhD research. This includes deposition of the precursor
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on advanced assembly of bio-intelligent materials
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campaigns (one to two weeks per year) Holder of a valid car driving license Our offer We offer a fully funded PhD student position (3 years, full time) at Empa, the Swiss research institute for materials
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. Empa is a research institution of the ETH Domain. The Empa Laboratory of Cellulose & Wood Materials invites applications for a PhD student position on bio-based materials for advanced wound healing
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CoSi project (Co-Evolution and Coordinated Simulation of the Swiss Energy System and Swiss Society), we are seeking a motivated and qualified PhD candidate to develop neighbourhood- and district-scale
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-ceramic composites in close collaboration with a PhD student at the Biomaterials Engineering Group at ETHZ and the identification of process-structure-property relationships enabling the efficient design