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research and development activities in advanced power electronics and energy systems. The role involves the design, development, control, and experimental validation of high-efficiency power electronic
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on a project in the area of interconnected power system stability analysis and control. Key Responsibilities: Develop a measurement-based approach to derive the static and dynamic equivalence
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good understanding of the issues above and an ability to conduct policy-relevant research. Possess good command of the English language, as well as, good writing and research skills with an aptitude and
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powder bed fusion system, focusing on automation and control aspects of this novel machine and the implementation of an in-process monitoring system. This role is central to our efforts to push the
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understanding and ultimately controlling these interfaces, we will enable the development of advanced energy systems and electronic devices, including high energy Li/Na batteries, all-solid-state batteries
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, functional soft materials, and bioactive delivery systems. The role will focus on developing micro/nanostructured material platforms for controlled release, biological screening, microbial culture, and food
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traffic management (ATM), with a focus on operator cognitive load, situational awareness, and decision-support interfaces for air traffic controllers. The role will involve designing and evaluating human-in
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
ATMRI at NTU is seeking a highly motivated Senior Research Fellow to conduct research in Human Factors, Human-AI Teaming, and Human-Centred AI for next-generation Digital Air Traffic Controller
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deployments using telecom fiber networks or dedicated fiber-optic sensing systems in civil infrastructure and dense urban environments. Build scalable pipelines for DAS data quality control, denoising, event