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data processing, ship hydrodynamics, ship performance analysis, machine learning algorithms; Proficiency in written and spoken English - essential for data analysis and communication with stakeholders
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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. Develop and enhance advanced optimization algorithms for the Energy Management System (EMS), addressing energy dispatch, storage control, load scheduling, and strategies for market participation. Architect
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environments. Develop and refine advanced optimization algorithms for the Energy Management System (EMS), including energy dispatch, energy storage control, load scheduling, and market participation strategies
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, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets. Collaborate with multidisciplinary teams including biologists, engineers, and clinicians
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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; software maintenance & evolution; human-aspects in SE; engineering IoT, Cyber-Physical Systems & drones; sustainable SE. Cybersecurity, including decentralised/distributed trusted systems; biometrics
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objects and segmentation models for a robotic pick and place project. Develop data augmentation/data synthesis methods to address challenges from limited training data. Develop algorithms to annotate 2D
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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on AI-driven end-to-end autonomous driving algorithms. Key Responsibilities: The research fellow will be leading the development of AI-driven end-to-end autonomous driving algorithms. The work will