243 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" positions in Switzerland
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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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. 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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, 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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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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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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laboratory at Empa. The group focuses on developing novel reactor and process concepts along the value chain of carbon capture and utilization, and on integrating them into a net-zero energy system. The work
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., maintenance of lab records and study materials, participant recruitment, support relating to teaching). Your profile You are enrolled in a Bachelor program at the University of Basel, preferably in psychology
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of astrophysical and/or space-science data processing. The successful candidate will hold an MSc or greater degree in computer science or engineering, or a PhD in applied mathematics, physics, or related fields
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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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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