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educational track record in condensed matter physics and optics, Familiarity with data analysis procedures and computer tools for automated data acquisition/processing (Python/C++/Labview programming languages
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to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the development of innovative
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knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis, investigations and optimization of hydrogen production via methane pyrolysis for decarbonization
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written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with
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that drive learning and attention in biological processing systems. Working environment the NCS group, it’s working ethics and spirit is fully described in the group’s “lab manual” (https://ncs
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guidance and robotics. Our work combines medical imaging, computer vision, and machine learning with strong clinical translation, in close collaboration with Balgrist University Hospital and the national
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functionalized lignin as a precursor for carbonaceous structures – Produce optimized ink formulations for laser-induced graphitization processes using functionalized lignin oligomers – Characterize the materials
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technologies with CO2 emitters The Energy and Process Systems Engineering (EPSE) Group at ETH Zürich is looking for a doctoral student to design a decision workflow for assigning CO2 capture technologies
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processes in flow batteries. This project focuses on developing physics-based models of electrochemical double layers and their spectro-electrochemical characterisation, contributing to fundamental
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exposure in a Swiss context. The proposed research will directly support the mission of the Swiss Federal Nuclear Safety Inspectorate (ENSI) to effectively monitor the safety reporting process, contributing