Research Scientist, Singapore

Job Description / Duties: Design and implement accurate 3D reconstruction pipelines from multi-modal data sources (e.g., images, LiDAR, or similar sensors). Build robust algorithms to automatically map and measure elements in 3D models and 2D representations. Research, implement, and optimize geo-positioning techniques to achieve sub-centimeter accuracy, leveraging RTK, SiReNT, LiDAR, visual markers, and hybrid approaches. Develop and deploy image and 3D segmentation models for real-world applications, ensuring robustness and efficiency. Write clear, modular, and optimized Python code to support research, prototyping, and production deployment. Develop software and hardware solutions for autonomous operations on ground robots and drones, including navigation in GPS-denied environments. Collaborate with a multidisciplinary team to translate research outcomes into practical solutions.Conduct field trials to validate algorithms and hardware performance.
Work experience/Skills required: PhD or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field. Strong expertise in 3D reconstruction (photogrammetry, LiDAR, multi-view geometry, or related techniques) and 3D analysis. Demonstrated experience with geo-positioning technologies (e.g., RTK-GPS, SiReNT, LiDAR-based localization, visual fiducials/markers). Hands-on experience developing image and 3D segmentation models (deep learning, classical CV, or hybrid approaches). Proficiency in Python with strong software engineering practices (clean code, testing, documentation). Practical expertise with ground robots or UAVs (drones), including control, planning, and navigation in GPS-denied scenarios. Preferred: Familiarity with SLAM frameworks, multi-sensor fusion, or VIO (Visual-Inertial Odometry). Experience deploying algorithms on embedded systems or edge-compute platforms. Experience with ROS/ROS2, C++, or GPU acceleration (CUDA, TensorRT).