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. Project background The position is associated to a project on phase-field modeling of fracture. The PhD project aims at developing cutting edge models for the fracture behavior of quasi-brittle materials
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with large language models (LLMs). The successful candidate will investigate both theoretical aspects – such as understanding the mechanisms and limitations of reasoning in modern LLMs – and practical
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young researchers from around the world? Do you bring a precise, well-structured, and forward-thinking approach to your work, while enjoying the challenge of learning and mastering new tasks? Are you
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-dimensional quantum materials and develop advanced sensing methods for future quantum technologies. You will be embedded in a vibrant, international research group with strong expertise in quantum sensing and
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layers, thorough FLA processing, and extensive materials characteri-zation using XRD, electron microscopies, TOF-SIMS, electrochemical methods, etc. Modeling and simulations should help us to explain
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their subsequent simultaneous analysis. This project aims at overcoming these challenges to reliably measure atmospheric levels of PFASs and model their respective emission strengths in Switzerland
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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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temperatures (down to 100 mK). Using Nitrogen Vacancy (NV) and Silicon Vacancy (SiV) centers in diamond, the project aims to probe magnetic properties of low-dimensional quantum materials and develop advanced
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, interactions, catalytic mechanisms etc. in real-time. Building on our published and unpublished work, the successful candidate will advance nanopore trapping in new directions using solid-state and biological
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understanding of district heating and cooling, renewable energy integration, multi-energy systems, and energy conversion and storage technologies. You have strong skills in programming, modelling, and data