233 computational-physics-"https:"-"https:"-"https:"-"https:" positions in Switzerland
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focusing on the physical realization of a next-generation high-speed AFM system tailored for biological research. Job description The Lead Mechatronics Engineer is responsible for the physical realization
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Architecture & Roadmap: Define the technical vision and high-level design for ViViD-AFM V2.0, ensuring a scalable and robust system architecture. IP Strategy & Novelty Design: Drive the design process to ensure
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. This international PhD is part of the Collaborative Doctoral Partnerships programme, training researchers at the science-policy interface. Your profile Qualification and specific competences required Master's degree
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agreement. We develop computational methods to accelerate materials discovery through defect engineering, with a focus on extreme environments. Application areas include fusion reactors, hydrogen systems, and
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, engineering, physics, or a related field, and with strong interest in the cryosphere. The successful candidate has experience in computational data analysis or numerical modelling. You are eager to work
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the approval process in AVA, the UZH third-party funding platform . To receive the confirmation letters in time, please start the approval process no later than 22 October 2025. Here you can find instructions
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computational modelling of the electronic structure of nitride systems. You will be embedded in a vibrant scientific community at PSI, exploring solid-state systems through a variety of complementary techniques
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100%, Basel, fixed-term The Computational Biology (CoBi) group, led by Prof. Dagmar Iber, develops data-driven, mechanistic models of biological systems using advanced imaging and computational
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organised individual to support multiple experimental and computational research groups. The successful candidate will contribute to both a collaborative research network and institute-wide activities
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convective heat transfer with the surrounding air. Within our research group at ETH Zurich, we are developing computational workflows for predicting temperature fields in machine tools using computational