75 sensor-algorithm-"Prof" Fellowship positions at Nanyang Technological University in Singapore
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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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Centre for Advanced Robotics Technology Innovation (CARTIN) is looking for a candidate to join them as a Research Fellow. Key Responsibilities: Develop novel algorithms for multi-agent inverse
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, quantum machine learning, quantum algorithms from well-established universities/institutes. The candidates must be highly motivated in multidisciplinary research. He/she must have proven experience in
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-making algorithm for autonomous vehicles. The work will involve sensor fusion, perception, trajectory prediction and test rig set-up, and experimental validation. Job Requirements: PhD Degree in Vehicle
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noise, allowing only specific algorithms with relatively shallow quantum circuits to be executed. In the NISQ era, hybrid algorithms run partially on quantum computers and partially on classical computers
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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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an emphasis on technology, data science and the humanities. A Research Fellow position is available at A/Prof Yusuf Ali’s laboratory at the Lee Kong Chian School of Medicine, part of Nanyang Technological
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(terrestrial and NTN). The goal of this research is to design and develop algorithms and techniques that adapt to the environment, minimizing signaling overhead associated with channel estimation and enhancing
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an emphasis on technology, data science and the humanities. LKCMedicine is seeking to appoint a full-time Research Fellow to work on the Health-Driven Design for Cities (HD4) study. Jointly led by Prof Nick
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/ machine learning algorithms to support research in the IDMxS Analytics Cluster. The RF will apply/ improve machine learning algorithms to process (e.g., classify, predict) data collected by IDMxS. Help