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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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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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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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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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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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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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environment. Our research facilities include access to state of the art pilot plants, ability to use a range of sensors and expertise in process modelling and design. The PhD project will be undertaken in
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) should include a detailed overview of each of the PhD applicant’s course grades (Bachelor and Master’s degrees) including a detailed overview in an Excel table that translates each course grade into
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the design, nanofabrication, characterization, and operation of semiconductor qubit devices and arrays. The research will investigate the physics of semiconductor spin qubits confined in gate-defined quantum