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exploited by intelligent physical systems, such as robots, vehicles, and distributed autonomous agents, to perceive and interpret their environment and support timely physical action. A central objective will
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of quantum information – e.g. the no-cloning principle – to provide improved privacy in distributed computation settings. As part of the position, you will be expected to collaborate with other researchers
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experimental validation of control strategies for the developed systems. This includes the development of advanced control algorithms capable of handling varying operating conditions, ensuring system stability
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and corrective feedback. You will apply advanced algorithms for machine learning, multimodal biosignal processing, and human-state inference, working with shared-control strategies and electrotactile
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ICT, Learning and Organizational Change or the continuing education programme in IT and Learning. Information about the academic content of the programmes is available here: https://www.aau.dk
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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and structure of healthy anatomy and detect any deviation from the healthy distribution. But in the absence of labels, how should we direct the model to learn relevant features, and how can we determine
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-of-the-art digital methods and/or algorithms in the study of social world phenomenon? The Department of Society and Politics, the Faculty of Social Sciences and Humanities, AAU invites applications for a 3
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to make infrastructures and production more effective and energy-efficient, with algorithms that autonomously learn the behaviour of technical and socio-technical systems and make optimal decisions without
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deliver a theoretical, algorithmic, and real-time implementation framework for on-the-fly autonomy in crowds. The resulting methods will (i) adapt to unpredictable human interactions that introduce high