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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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algorithms for UAV networking and management Implement and test the algorithms under realistic scenarios Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks Publish the
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(PIM) architectures, particularly leveraging emerging memory technologies such as ReRAM Implement and optimise hardware acceleration solutions for scientific computing algorithms (e.g., iterative solvers
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exploration and relevant disciplinaries Key Responsibilities: Develop novel imaging algorithms and validate them through synthetic experiments Extend these methods to real-world experiments to address practical
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) to develop accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models
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algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under
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algorithms to extract biologically relevant crop traits from image and climate data, supporting mechanistic models for optimised light use and energy-efficient growth. Working closely with a modelling
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algorithm design. To seek and demonstrate practical utility of using AI for automating quantum algorithm design. To analyze complex wave-based physical systems and their high-dimensional parameter spaces in
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effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling
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algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms, and also be actively involved in the development AI tools tailored for different medical domains. These are efforts