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seismology, geothermal energy, and geobiology. Access to cutting-edge tools, algorithms, and high-quality seismic datasets. Competitive salary and benefits, including academic development and training
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responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling, or generative modeling. Collaborating with
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postdoctoral researcher, your responsibilities may include: Development or analysis of novel Machine Learning algorithms for engineering design applications, such as Inverse Design, Surrogate Modeling
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sciences, who ad- dress key issues in AI such as reproducibility, safety, trustworthiness and robustness, and who engage with the theoretical and algorithmic foundations of AI. A strong commitment to
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Wattenhofer and Dr. Antonio Di Maio . You will be entrusted with designing, developing, and evaluating data-driven methods, algorithms, and systems for three independent but related research directions in
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-driven methods to include prior information about the underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms
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underlying system Addressing process specific nonlinearities and system-theoretic properties to develop novel control and machine learning algorithms for edge computing Active collaboration with our industrial
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support systems in rehabilitation in many health conditions. This position is open for a postdoctoral researcher in the field of generative design for exoskeletons and orthosis. Focused on developing a
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of ETH’s Center for Manufacturing (Manufacturing4X) founded in Fall 2025. The selected candidate will support the development and execution of educational and mentoring activities, as
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. Commercial solutions avoid entanglement-based methods due to technical challenges, yet this limits the impact such technologies can have. In this project, we aim at further developing photonic integrated