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of welcome events, retreats, PhD symposium and other activities Co-organisation of the summer school in machine learning in 2025 Keeping relationship to other educational programs of University of Zurich, ETH
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Materials, Processes and Sustainability at inspire offers in collaboration with the Advanced
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) or related fields Experience with software engineering and, in particular, real-time signal processing. Prior experience in machine learning and AI are an advantage Experience with inertial measurement units
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Manufacturing to strengthen the Swiss industry's competitiveness. Project background Smart cameras and machine learning enables the transformation of support and guidance of manual assembly processes. Smart
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. Highly self-organized and structured way of working and solution orientation High motivation and willingness to learn new skills High level of teamwork, positive work attitude and creativity for PhD
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offline applications Implement a real-time neurofeedback pipeline, machine-learning classification, and AI-supported biomarker extraction related to stroke rehabilitation Develop an integrated setup
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group Laser Material Processing at inspire offers in collaboration with the Advanced Manufacturing
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simulations, laboratory experiments and field analyses to gain fundamental insights and to develop sustainable technologies that address society’s needs. One of these technologies (co-invented by Martin Saar
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| Department Architectur (D-ARCH) PhD Position on “Secure Machine Learning on RISC-V Servers and Accelerators” 100%, Zurich, fixed-term 04.03.2024 | Digital Circuits and Systems