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a particular focus on the integration of artificial intelligence with wireless sensing and communication. The research will study how radio signals and multimodal sensor observations can be jointly
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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 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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researcher will investigate how AI embedded in physical entities, such as robots, vehicles, or sensors, form representations of space, motion, and context through continuous, multimodal interaction with
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commissioning and adaptive control. The PhD candidate will develop methods for the ongoing, automated adjustment of controllers, sensors, actuators, and associated control hardware. Rather than one-time
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integration of mechanical structures, actuators, sensors, and control hardware, development of control algorithms, and programming for embedded or robotic platforms. You are familiar with modelling and analysis