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university degree) in systems and control, mechanical engineering, electrical engineering or applied mathematics. Strong background in mathematical systems and control theory. Keen interest in hybrid dynamical
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. At the Division of Systems and Control, we develop both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and
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Engineering, Mechatronics, or Robotics, with a heavy emphasis on dynamic system theory, or a closely related discipline. Strong academic background in applied intelligent control techniques, machine learning
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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9 Apr 2026 Job Information Organisation/Company Universidade de Vigo Department T14 Signal and Communications Theory Research Field Engineering » Other Researcher Profile Recognised Researcher (R2
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, under the supervision of Prof. Frederik De Laender. The lab offers a stimulating international research environment with strong expertise in biodiversity–ecosystem functioning, coexistence theory
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consistency, and transfer of training to novel tasks. Originality and Innovation This project is highly innovative in applying fundamental theories of human motor control to address a critical gap in immersive
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on TSTs to inform array layouts. By combining, for example, wave ray tracing, analytical theory, and blade element momentum theory (BEMT), the research will predict local kinematics and the resulting
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learning, control theory, and embodied autonomous systems. The successful candidate will contribute to the development of learning-based control methods that are not only high-performing, but also safe
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? Join an interdisciplinary PhD project that uses large-scale viral genome and epidemiological data to develop predictive theory for rapidly evolving viruses. You will work at the interface of theoretical