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responsibilities: Collecting data requirements, perform data collection, and clean up Benchmark and fine-tune SLM models, and deploy on edge devices Iteratively improve based on user needs Prepare reports
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responses. The position is ideal for an early-to-mid career researcher who seeks to develop rigorous theory, engage with cutting-edge computational tools, and contribute to high-impact projects on 2D
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research independently Take a leading role in multi-disciplinary research projects. Develop research collaborations across NTU and with external collaborators Supervise undergraduate students Contribute
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prototype. The position combines device development with exploration of use cases and pathways to commercialization, and directly supports NTU’s mission to develop and commercialize emerging quantum computing
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(RL) training for large language model (LLM) agents. Prepare and submit conference papers. Co-supervise undergraduate and/or graduate students. Support teaching activities, including course preparation
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Systematically define user and system requirements, develop conceptual designs, and conduct feasibility assessments. Identify, design, and develop robotic subsystems, including locomotion and mobility systems
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Responsibilities Systematically define user and system requirements, develop system architecture, and conduct feasibility assessments. Design perception and sensor fusion frameworks using cameras, LiDAR, depth
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We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications Available data include: • Numerical weather prediction (NWP) model outputs
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and milestones. Prepare weekly progress reports and present research updates at group meetings. Analyse and interpret experimental results to guide research direction and decision-making. Prepare
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systems, following UCIe standard. b. Define and drive the strategic research roadmap for BS-PDN and advanced packaging initiatives c. Develop and integrate simulation-driven workflows combining