10 electrical-machines "https:" "https:" "https:" "https:" positions at ETH Zürich in Switzerland
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computer science or electrical engineering from a reputable university On top of systems and/or hardware security, we also consider applicants who have instead worked on computer systems or hardware design topics
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24 Jul 2026 Job Information Organisation/Company ETH Zürich Research Field Computer science » Computer architecture Computer science » Other Researcher Profile Established Researcher (R3
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networks, from wireless communications to signal processing, and from control theory to electric energy. It offers a highly interdisciplinary research environment with strong expertise in power electronic
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, part of the Technology Marketing Group at ETH Zurich, we investigate how organisations can turn generative and multimodal AI into measurable value. Our current focus is one of the most consequential open
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resubmit an application in the current round. Applications not complying with the eligibility criteria will be rejected on formal grounds. We offer Your job with impact: Become part of ETH Zurich, which not
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field. Strong foundations in machine learning and familiarity with current AI tools and practices. A solid understanding of large language models, in particular their reliability, security, and
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, but to drive innovative research and achieve decisive progress. Further details on NCCR Genesis are available on its website https://nccr-genesis.ch . Job description The successful candidate will
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-invasive targeted drug delivery to the brain. Our laboratory recently developed a novel focused ultrasound-mediated targeted drug delivery platform, published in Nature Communications (https://www.nature.com
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clinical studies Medical device development and regulatory approval This is a highly interdisciplinary project at the interface of neuroscience, biomedical engineering, physics, electrical engineering
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behavioural interventions in healthcare. However, current conversational AI systems remain limited in their ability to operate reliably across diverse clinical contexts. They often lack generalisability