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for space and hypersonic applications, integrating heterogeneous sensor data (EO, radar, IMU, LiDAR) into robust orbit determination and relative navigation pipelines. The position spans theoretical algorithm
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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closely with signal processing pipelines built on real measurement data — including baseband I/Q signals — and contribute to both algorithm development and experimental validation. The role involves close
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algorithms into efficient edge inference systems, and validate end-to-end performance under real-world deployment conditions. Throughout, you will work with live measurement data spanning the full arc from
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equipment, electronics and sensor integration, and working effectively within multidisciplinary teams. Experience with mobile manipulator robots, Linux, ROS/ROS2, algorithm design, and laboratory automation
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 19 hours ago
observations by the end of the decade as other sensors are phased-out. The SAGE Mission is seeking qualified candidates to conduct research activities that advance the maturity of this increasingly important
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of technological innovation aimed at sup- porting farmers by alerting them of imminent lambing events. Its objective is to provide a reliable predictive system based on sensors and artificial
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change, climate change attitudes, and risk under environmental heat stress by combining psychological profiling, biological lab data, physiological time series, and sensor data. The postdoc will play a
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algorithms to shape the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design
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. Development of real-time optimization algorithms and model predictive control (MPC) strategies for adaptive process management. Addressing data sparsity and data quality issues in industrial process data