426 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" research jobs in Singapore
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: Electrical and Computer Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 13/02/2026 ▲ Collapse Job Title: Research Fellow (Topolectrical Circuits and Non-Hermitian Physics
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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. • Familiarity with reinforcement learning and more generally machine learning. • Experience with communication protocols such as LoRaWAN, Zigbee, BACnet, Modbus, and IoT integration using MQTT and RESTful APIs
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong publication records in top-tier machine
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is to develop real-time truck-drone collaboration system to enhance Singapore safety and resilience and using learning-based approaches. Key responsibilities include: Collecting and analyzing relevant
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, privacy, and inclusion in AI-supported learning environments. Scholarly Dissemination – Publish findings in high-impact journals and conferences across AI, education, and human–computer interaction
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fabricate modifications for commercial specialised lab equipment, experience in designing for hardware integration, machining, part selection is required Operate specialised lab equipment; training will be
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an active role in data management, processing, and quantitative analysis (e.g., longitudinal and multilevel modelling, time-series or high-frequency data analysis, machine learning or predictive
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., • Interest in developing risk prediction models via deep learning/machine learning. • Have strong background in DL, EEG data and programming for the implementation of proposed methods. Apply now
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-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education. About the