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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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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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, equipped with state-of-the-art facilities, to work on the following: Conduct research, development, and testing of SLAM and multi-sensor fusion algorithms for UAV swarms in GNSS-denied, cluttered
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multi-sensor SLAM systems for firefighting robots, optimizing for speed, memory, and power. ROS2, Jetson platform experience, and deep understanding of SLAM backends are essential. Key Responsibilities
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to conduct and lead research sensor array and radar processing. in particular the detection, localization and tracking of active and passive targets in a cellular network under harsh urban environment
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The Research Engineer’s role’s is to work on research projects which involves developing of metacognitive algorithms and integrating multi-sensors for autonomous moving robot. Key Responsibilities
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conduct experiments that explore novel approaches in bio-inspired AI and sensor technologies, integrating insights from biology and neuromorphic engineering for embodied intelligent systems. Algorithm
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. The Research Associate will develop a radar-inertial fusion module using 4D imaging radar and IMU for robust ego-motion estimation under low visibility, with strong skills in SLAM, signal processing, sensor
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, object detection, and multi-sensor AI perception is required. Key Responsibilities: Develop real-time 3D mapping solutions by fusing data from radar, thermal, and odometry sources. Design and implement
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all project deliverables are met. Undertake these responsibilities in the project: Conduct technology review of sensor technology Develop algorithms/models for engine health monitoring Develop prototype