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, optimization, and delivery of digital learning solutions to enhance teaching, learning, and learner experience across the University. Key Responsibilities Support Edtech impact analysis and reporting, including
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Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
solutions Requirements: Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python
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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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transformation activities, optimizing system setups (such as SharePoint), developing Standard Operating Procedures (SOPs), and facilitating knowledge-sharing initiatives. Working closely with internal stakeholders
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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Engineer to join SHARE@NTU Lab. The ideal candidate will work on developing and optimizing embedded software solutions for assistive robots. The role requires proficiency in embedded systems design, Robot
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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., battery systems, energy flows, simulations). Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high
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partnerships with suppliers to optimize value, reduce risks, and drive mutual success. This includes selecting and onboarding suppliers, negotiating contracts, managing performance, and fostering collaboration
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support research activities in power system resilience optimization and asset health modelling. The role focuses on developing data-driven and physics-informed analytical models to enhance reliability, risk