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100%, Zurich, fixed-term The Networked Systems Group is a research group in the Department of Information Technology and Electrical Engineering (D-ITET) at ETH Zürich led by Prof. Laurent Vanbever
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Applicants can apply for up to 3 PhD projects, indicating the order of preference. All applications will have to be written in English and will be checked for eligibility. Ineligible or incomplete applications will not be considered. Applications must be submitted through the RE-Fibre website ...
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Applicants can apply for up to 3 PhD projects, indicating the order of preference. All applications will have to be written in English and will be checked for eligibility. Ineligible or incomplete applications will not be considered. Applications must be submitted through the RE-Fibre website ...
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Energy Analyst (CEA) to compute comprehensive environmental metrics for selected vulnerable transformation areas (VTAs). Soft-Densification Archetypes: Defining and parameterizing densification strategies
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doctoral dissertation on one of the research group’s core research areas Active participation both within the research group and via (inter)national networks and conferences Profile Requirements: MSc degree
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infrastructure network and its interconnectedness with other infrastructure networks, the environment in which it is embedded, and how this might change in the future, due to a changing climate, and the
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networks in the world, allowing us to work toward a near real-time monitoring of the stress state of the subsurface. Job description The PhD student will work in the field of passive seismic interferometry
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applications are a global research theme of high interest, but none of the current concepts have a full net-zero-carbon impact because they bring partial and mostly fragmented solutions that cannot stand up
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Science,Organization Science, Strategic Management Journal, and Harvard Business Review. We also have a strong international network of collaborators. Compensation: We offer a competitive salary. For
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carrying partially unknown loads. This uncertainty results in conservative estimates of braking rates and dynamic performance, reducing efficiency both at the individual train level and across the network