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implementation of innovative research project within their area of expertise. Specific duties include, but are not limited to: Design and lead research projects aligned with the department’s priorities. Support
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, focusing on the design, simulation, and real-time control of interconnected smart systems in domains such as manufacturing, energy, mobility, health, and agriculture. Key Responsibilities: Mentor student
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projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected
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) program. This transdisciplinary position is designed for a researcher capable of bridging networks, feedbacks, and emergence across human, institutional, and physical systems. The ideal candidate will work
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solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design. Key Responsibilities: Mentor student teams in the mathematical modeling and
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for a Research Scientist in Complex Systems to support the Wicked Problems (WiP) program. This transdisciplinary position is designed for a researcher capable of bridging networks, feedbacks, and
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synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing
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data analysis, predictive modeling, and AI-based solutions to real-world societal challenges. Key Responsibilities: Provide methodological support and design data-driven approaches for WiP student
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, and urban design. Key Responsibilities: Mentor student teams in the mathematical modeling and optimization of dynamic, uncertain, and multiscale systems. Guide the design and implementation of numerical
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understand, abstract, and solve complex real-world systems, ranging from climate, health, and manufacturing to logistics, mobility, and urban design. Key Responsibilities: Mentor student teams in