21 affective-computing-"https:"-"https:"-"https:"-"UCL" positions at Empa in Switzerland
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submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-computational
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advancing the current project as well as in shaping and realizing your own scientific ideas within the lab's research activities. You will be encouraged and supported in producing high-impact results
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salaries. We are passionate about what we do and want to make a real-world impact with our research. The position is available for two years with potential for prolongation. We live a culture of inclusion
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and are motivated to publish high-impact results Fluency in English; German is an asset. Our offer We offer an international, highly stimulating research environment with excellent infrastructure
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. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment for high impact research. We have internal expertise in (micro
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. Empa is a research institution of the ETH Domain. The Laboratory for Building Energy Materials and Components develops advanced and/or low eco-impact, porous materials for insulation, sorption, and
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in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. The candidates should have: Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV
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will be enrolled in the electrical engineering doctoral program at ETH Zurich. The project is embedded in the National Competence Center for Research Muoniverse and funded by the Swiss National Science