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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization, or decision analysis. Strong commitment to interdisciplinary education and student
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modeling and numerical optimization techniques. Proficiency with programming languages such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization
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programming languages such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization, or decision analysis. Strong commitment to interdisciplinary education
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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: Guide student teams working on complex, interconnected systems across domains such as urban development, social behavior, strategic governance, education, migration, or resilience. Introduce and apply
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accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
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teams in the design and implementation of cyber-physical systems (CPS) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins