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sensor data, including LIDAR and camera inputs, for robotics and automation applications. Conduct outdoor vehicle trials for testing and validation of perception, navigation algorithms, and self-driving
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top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers. With whom? With Prof. Marek Gluza
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new quantum algorithmic solutions based on Riemannian geometry. With whom? With Prof. Marek Gluza at NTU Singapore who is eager to debate with you whether double-bracket quantum algorithms or a
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, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects and obstacles
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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developing quantitative evaluation methodologies or performance metrics. Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Experience with optimization algorithms
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to support reliable DAS interpretation and urban infrastructure monitoring. Key Responsibilities: Develop automated, uncertainty-aware algorithms to infer and map fiber-optic cable routes from DAS-derived
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for real-world deployment. Key Responsibilities: Develop algorithms for DAS signal processing, wavefield analysis, feature extraction, and interpretation across infrastructure monitoring, urban geophysics
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monitoring including geohazard detection such as sinkhole and subsidence. Key Responsibilities: Develop algorithms for passive seismology, seismic noise analysis, geophysical imaging, and seismic source