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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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selection criteria A solid theoretical background in nonlinear control and the control of marine vehicles or robotic systems. Additional training in machine learning methods is an advantage. Solid programming
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Modern autonomous ground vehicles (AGVs/UGVs) in defence operations require sophisticated AI/ML-based control systems for perception, decision-making, and adaptive responses in complex, unstructured
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, future electricity prices, reservoir levels, cascade constraints, and the nonlinear relationship between water release and electricity production. Improving such decisions is essential for efficient
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for the analysis and control of large classes of nonlinear and high-dimensional systems, such as air flow dynamics in complex greenhouse environments. In this PhD project, you will explore and conduct research
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for Multiscale Offshore Structures), which develops integrated AI methods for the analysis, design, monitoring, and control of floating offshore systems. Multi-modular floating structures are emerging as a
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loading. The project combines computational mechanics, nonlinear finite element analysis and soil–structure interaction to address critical challenges in civil protection and societal resilience. Are you
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. The project combines advanced computational mechanics, nonlinear finite element analysis and fluid–structure interaction to address critical challenges in civil protection and societal resilience. About the
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scaling limits of conventional silicon electronics. By engineering crystal symmetry and magnetic order through controlled chemical doping, the research aims to tune the quantum metric and realize giant