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an international research environment spanning communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who
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, original, and feasible research problem, engage critically with relevant theory and research, and develop a methodological approach appropriate to their research question. Experience with specific methods
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both research
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. The candidate should have documented training and experience using social science methods (qualitative and/or quantitative). Knowledge of theory of research integrity and philosophy of science is preferable. What
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technology, such as IT-based didactic design, IT, learning and organizational change, techno-anthropology or related field that focuses on sociotechnical theory and qualitative methodology. The candidates
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Your day-to-day research will move between theory, modelling and real systems. You will build mathematical and physics-based models of complex thermal systems. You will develop reduced order
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) Strong knowledge of classical and modern control theory Experience in designing control strategies for energy-efficient fluid power systems Experience with modelling and control of hydraulic displacement
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electrical engineering, control engineering, applied mathematics, computer science, or a related field A strong background in probability and statistics, machine learning, or control theory Interest in cyber
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. Control and dynamic systems: A solid understanding of control theory, dynamic modelling and autonomous systems. Experience with trajectory tracking, path following, model-based control, state estimation
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loading, wave–current environments (e.g., wave kinematics, high-order wave theories), and vortex-induced vibration would be highly regarded. Familiarity with contact modelling and structural degradation