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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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Technical Proficiency: Familiarity with engineering tools with focus on design automation Experience in programming (e.g. Python) or machine learning and a desire to deepen your expertise Experience in
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. Interactions with the recently created Dubochet Center for Imaging are highly encouraged. One or two of the following research topics should be covered in the application: Machine Learning and AI-inspired
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. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
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image processing techniques and modern machine learning approaches to extract meaningful quantitative information from complex biological images. The successful candidate will contribute to projects
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, computer engineering and/or computer science towards producing relevant and impactful health-monitoring mobile/wearable solutions, then please apply. The research will be highly collaborative; you should be
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level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate in teaching
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with a high level of scientific independence and will gain relevant experience to apply for independent group leader positions. In particular, you can co-supervise Master or PhD students and participate
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100%, Zurich, fixed-term Applications are invited for a PhD position in the Air Quality and Particle Technology group (Prof. Dr. J. Wang). The successful candidate will work in the Laboratory
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. The position is funded for up to two years. Salary and social benefits are provided according to ETH Zurich rules. Profile Applicants must hold a PhD or doctoral degree with a strong proven research background