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Worldwide Prof Tom Hayward, Dr Matthew Ellis Application Deadline: 15 January 2026 Details A fully funded PhD opportunity to participate in the world-leading research undertaken by the EPSRC Doctoral
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vehicle (AV), allowing for automated detection, prediction, mapping, and planning. During the vehicle’s operation, data is obtained through a myriad of sensors in an AV—including RADAR, LIDAR, cameras, and
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University's Department of Computer Science. Supported by significant funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and
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communication Autonomous driving algorithms and technologies (e.g. vehicle control, path planning, scheduling) and sensors (e.g. lidars, radars, cameras, and GNSS) High-level integration of autonomous driving
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AI-assisted grading of end-of-life wind turbine composite materials for a circular economy Offshore Wind CDT PhD Research Project Competition Funded UK Students Dr James Maguire, Dr T Rogers, Prof
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projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Prof. Francesco Da Ros, DTU Electro. Responsibilities and qualifications The exponential surge in
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. The activities within the project will benefit from synergies with other projects in the group as well as with other activities at the department. The main supervisor will be Assoc. Prof. Francesco Da Ros, DTU
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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this PhD project, you will investigate the co-design between event-based learning algorithms and neuronal hardware units with multi-scale time constants. The algorithmic methodology will exploit recent
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the security and cyber domain, with special focus on ethics and algorithmic transparency; Human-Technology Interaction: Developing robots, simulations, and games, which use a variety of AI technologies to learn