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upcoming areas off the beaten paths. Our three main areas of research are machine learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects
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knowledge and technology from research to Swiss machine, electrical and metal industries. The research group additive manufacturing at inspire offers in collaboration with the Advanced Manufacturing Lab (amlz
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physics simulation, rendering, and neural graphics. Profile Bachelor’s, Master’s, or PhD in Computer Science, Computer Graphics, or a related field. Strong proficiency in C++ and Python, with a track record
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journals. Profile You have a PhD degree in environmental, polymer, organic, colloid, surface, or material chemistry or related fields. Proficiency in English is required. Essential competencies
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methods in learning sciences and educational research You are preferably studying Computer Science or a related field You are interested in Learning Sciences or Human-Computer Interaction (HCI) You are
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100%, Zurich, fixed-term We have an open PhD position at the intersection of machine learning, embedded intelligence and human–computer interaction. The project will explore how learning systems can
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for nowcasting, high-frequency indicators construction, machine learning, time-series econometrics and maintains the data and tools that feed the regular KOF macroeconomic forecasts. Curious? So are we. We look
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, the Center fosters collaboration among academia, industry, and policy to create impactful solutions from local to global scales. It furthermore offers a range of educational activities and learning journeys
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. This position is intended for researchers who will complete their PhD by January 2026 or have completed their PhD within the last 2 years. Research in the Ethics, Technology and Society group is on the mutual
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-career researchers, recent PhD graduates, advanced master’s graduates with research experience, and professionals with 1–5 years of experience in bioethics, science and technology governance, or related