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to: designing, implementing, and optimizing high-performance C++/C# software modules for real-time control, sensor fusion, and data analysis; developing unity‐based visualization and user-interaction interfaces
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 4 hours ago
collection from air- borne (unpiloted aerial systems) and vehicular mounted sensor systems for determining pavement functional and structural conditions. The project that the candidate will be working on is
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capabilities such as incorporating new sensors and redesigning the hardware and software prototype. This position is a temporary position that will last 30 weeks from the start date. The University of Minnesota
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors including optical sensors (like Landsat) and other radar sensors. It may
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, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute to the development
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for SDA, focusing on intelligent sensor tasking and the automated identification and characterization of space objects in Earth orbits and cislunar environment using optical data. Contribute
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characterization and large-scale component testing, including the setup and use of conventional and advanced sensing technologies (e.g., displacement/strain sensors, DIC, fiber-optic sensing). Analyze experimental
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, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and
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sensors in composites. Strong mathematical background and experience with numerical methods for structural analysis. Proficiency in programming (e.g., MATLAB, Python). You have obtained your PhD degree in
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closely with a small, dedicated team, you will: Design and implement SLAM-based navigation algorithms for GPS-denied forest environments (45%) Develop multi-sensor integration software for LiDAR, cameras