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project is to harness the latest developments in high-performance computing and deep learning (DL) technologies to address some of the key technical challenges, and finally demonstrate a DL-enabled system
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The LivePerson Centre for Speech and Language offers a 3 year fully funded PhD studentship to explore novel and innovative learning methods for construction of speech processing models. Domain
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enable the delicate mapping of electrostatic forces and electric fields in living cells. Combined with AI-driven analysis, deep learning will enhance the sensitivity and speed of measurements as
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human perceptual and cognitive processes. The core of this project is to develop novel deep learning architectures for deepfake detection. Comparative studies will be conducted between human and AI
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learning algorithms. This PhD project will explore in-depth the power of cutting-edge deep learning techniques in image understanding, segmentation, classification and change detection, and develop
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See Project Link via the 'Apply' link above. Project Title: PhD Studentship: Scene Understanding in Challenging Environments with Multimodal Deep Learning Number of Positions: 1 School/Faculty
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turbulence, and use this knowledge to identify control strategies through deep reinforcement learning. The methods developed in this project will directly contribute to designing novel porous media
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candidate will join the energetic human-centred computing group led by Professor Moi Hoon Yap. Project aims and objectives The project aims to design innovative deep multimodal learning methods to understand
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. Demonstration of open source project work (e.g., GitHub repositories), and familiarity with machine learning and deep learning frameworks (scikit-learn, PyTorch, LLM API’s) is a plus. Applicants should
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on cutting-edge topics such as: Data-efficient learning Explainable AI Memory-efficient deep learning Energy-efficient deep learning Parameter-efficient fine-tuning of foundational models The PhD studentship