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learning and experience in two or more of: computer vision, sensors/sensor fusion, robotics fundamentals. • Proficient in programming languages such as Python and C++; experience with frameworks such as
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for Digital Twin Earth (AI4DTE). The main goal of DTEClimate project is to maximize the information extracted from EO data by extracting sensor information and generating actionable, uniform, accurate, complete
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chemical vapor deposition, its characterization and optimization. Design sensor layout and evaluate materials involved, from the standpoint of bio compatibility. Functionalize graphene devices, in
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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training and/or experience in the processing and characterization of thin films and sensors. Supporting documents for these requirements must be submitted by the time of the fellowship contract's
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from data from a multimodal sensor. Merging data from multimodal sensors located in different spatial positions: calibration and synchronization. Transforming fused data: sensor fusion and feature fusion
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-HydroNet: A GNSS-reflectometry-based sensor network for investigating hydrological processes in Northern Finland. The work will contribute to the Digital Waters Flagship, bringing research and innovations
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sensors and sensor fusion of multiple event-cameras in a real-time human-robot co-working space, where a robotic manipulator (a 7 DOF robotic arm) interacts with a human subject and multiple hand-held tools
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from these sensors will be integrated into an existing platform composed of open-source, commercial and in-house developed software. Finally, QC points and a live process tracking system will be
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to lead a