29 wireless-sensor-network Fellowship research jobs at Nanyang Technological University
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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications
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the research on multi-layer metasurfaces for wireless communications, sensing, and computing. Key Responsibilities: Design the multi-layer metasurfaces prototype for wireless communications, sensing
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the development of next-generation multimodal sensor systems through materials integration, sensor array design, and performance validation. This role supports NTU’s strategic mission in pushing the frontiers
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experimental setups involving camera systems, IoT sensor networks, or embedded sensing platforms. Experience designing and conducting experiments in aquaculture, animal science, or environmental biology is
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reinforcement learning using degraded human feedbacks. Develop distributed localization approaches for multi-agent systems. Investigate the suitability of various sensors for robot navigation in human-sense
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transformative research initiative aimed at developing next-generation chemo-sensing platforms. The successful candidate will contribute to the development of solid-state, surface-based electrochemical sensors
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operation. Develop modular architectures for multi-agent coordination, sensing, and communication. Integrate sensor suites, flight controllers, and swarm coordination algorithms into UAV platforms. Conduct
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the development of integrated sensor arrays through innovative materials design and validation techniques. This role supports NTU’s strategic direction in cutting-edge sensor research by contributing
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Responsibilities: Explore the frontiers of intelligent sensing by advancing cutting-edge theories and pioneering transformative technologies. Integrate wireless sensing with Large Language Models (LLMs) to pioneer
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Solution Centre SAS-C. Key Responsibilities: Research and develop AI-assisted methodologies and tools for anomaly and stress pattern detection in aquaculture systems. Focus on multi-modal sensor data