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hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
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field assets: experience with camera traps/sensor networks, interest in biodiversity, and a valid EU driving license How to apply The call for applications remains open until the position is filled
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rapidly evolving areas such as autonomous systems, data-driven modeling, learning-based control, optimization, complex networks, and sensor fusion. Research at the division is characterized by close
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
letter, and two reference letters through the IMDEA Networks Institute hiring portal, at: https://careers.networks.imdea.org/ Publications relevant to the position: [A] M. Stute, F. Kohnhäuser, L
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have an edge between two nodes if the corresponding objects intersect. Such graphs have been used, for instance, to model sensor networks. Geometric intersections graphs are a generalization of planar
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releases, and greenhouse gas flux estimation. Current approaches struggle to assimilate data from heterogeneous sensor networks, are too computationally demanding for real-time deployment, and lack reliable
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drone detection and localisation performance using radar systems. This can be achieved by improving the detection performance of individual sensors and by employing a cooperative network of sensors which
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Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ). Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and
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, primarily because they are single use and they lack effective monitoring, as they do not integrate sensors. RESSURG’s main research objective is to research weather reversible polymer networks with self