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ultrasound sensors, a technology first pioneered by the University College London Photoacoustic Imaging Group. Their primary areas of investigation will be increasing the performance of Fabry-Perot sensors in
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Are you passionate about developing numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale
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numerical algorithms or high-performance software for scientific computing? Do you have expertise in numerical linear algebra or experience with large-scale computing and want to broaden your skills? Would
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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of algorithms for natural language understanding, structured command generation, and domain-specific model adaptation or fine-tuning. Integrate NLP and speech technologies (ASR/TTS) into a unified tactical signal
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. This role will contribute the development of novel machine learning algorithms for wireless sensing and communication and the proof of concepts for next-generation wireless communication, collaborating with
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. The post is part of the project that aims to develop digital twin frameworks within the Wind Energy sector with novel AI predictive maintenance algorithms for fault-tolerant, intelligent estimation
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Punggol campus. Under this job title, you will be required to establish a test bed in SIT’s Punggol campus building, benchmarking of current building energy performances, deployment of new sensors
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develop electrochemical switchable nanobody sensors that provide ondemand, high-sensitivity detection of proteins directly in culture media over extended periods. The focus will be on microelectrode array
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apply these digital twins and sensors to real-world case studies of novel biologic modalities, evaluating how hybrid PAT–digital twin frameworks can optimise critical quality attributes, reduce