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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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12 Sep 2026 Job Information Organisation/Company University of Groningen Research Field Engineering » Control engineering Engineering » Electrical engineering Researcher Profile First Stage
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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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quantify the impact of nonlinearity on flow and transportin confined porous media. We put particular emphasis on three sources of nonlinearity: non-Newtonian rheology, large driving rates leading to dynamic
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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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test circuits, interfaces or PCBs. Experience characterising nonlinear, threshold, pulsed or transient behaviour in electronic or microfabricated devices. Optical microscopy, profilometry or related
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the work aligns with your goals and aspirations. For more details see https://binyshlab.com/positions/ What will you do? Conventional robotic bodies rely on computationally intensive centralized control and
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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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and Ultrafast Optics group led by Prof. Dr. Jens Biegert. The group works in a highly interdisciplinary field which fuses ultrafast laser physics, extreme nonlinear optics, atomic and molecular
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at the Laplace laboratory, where numerical and analytical models are being developed to predict plasma potential control and flux entrainment from polarized electrodes. During the third year of the thesis project