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in Generative AI and Education. This position is ideal for a scholar passionate about exploring how emerging artificial intelligence technologies can advance education and deepen our understanding
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transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s
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transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s
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position supervised by Prof. Xuanhe Zhao. This position will entail the following technical responsibilities: 1, Develop advanced AI solutions for analyzing time-series 2D/3D ultrasound data. Perform image
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agents (robots in 3D environments) and adaptive learning systems (AI tutors that model and guide human learners). Develop learner models and content-recommendation policies that estimate a student's
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collaborators. • Maintain laboratory records, prepare technical reports, and contribute to publications and presentations. • Ensure compliance with laboratory safety procedures and good research practices.
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closely with end users, educators, researchers, developers, and community partners to understand user needs, translate research insights into prototypes, and evaluate the usability, accessibility, and
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cardiovascular monitoring and health assessment. 2, Develop multi-physics simulation frameworks for the design and optimization of ultrasonic transducer arrays and acoustic beamforming. Apply advanced optimization
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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at I²R and NTU. The key focus areas of this position include: 1. Reflex and Habitual Action Generation Develop closed-loop motor-control policies that map robot proprioception, force-torque, and tactile