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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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questions, and be able to think critically and develop your own scientific ideas. Previous experience with machine learning, wearable sensors, haptics and control systems is an advantage but is not required
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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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to material properties, environmental loading, sensor data, and model fidelity. Bayesian and stochastic techniques will be used to propagate uncertainty through diagnosis and prognosis models, enabling