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join a world-renowned team on an interdisciplinary project to develop advanced state-of-the-art machine learning models for decision-making in complex systems. The Division of Decision and Control
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of distributed systems and networks for machine learning inference. Applying machine learning concepts, with the goal of devising agentic frameworks, will also be a part of the project. Supervision: Professor
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an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between
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-6GSAT and 6G DICE. These projects aim to shape the next generation of wireless networks by developing energy-efficient, resilient, and cost-effective 6G infrastructures that integrate terrestrial and non
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focuses on developing principled, scalable, and efficient methods for modeling complex temporal dynamics, with applications in probabilistic forecasting and data imputation. Possible research topics include
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heat-transfer and commercial codes (ANSYS) for simulating the complex heat-exchanger. The work will consist of setting up simulations, meshing complex geometries, using super-computers, data analysis and
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Computer Science The EU MSCA Doctoral Network
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. The physical layer of 5G and 6G networks revolves around the multi-antenna MIMO technology. 5G uses 64 antennas in each base station and 4 antennas in devices, which might grow by 5-10 times in 6G
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diversity as well as study environment Inclusion into the WASP-HS graduate school, building an academic network with other humanities and social science scholars working at the nexus of AI and society Help
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inherent complexities. Your role: The doctoral student will conduct research at the intersection of optimization, game theory, and automatic control for complex systems. Their work will encompass both