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their doctoral degree earlier may also be considered if there are special grounds, for example different types of statutory leave. You need a good knowledge of state estimation, sensor fusion or robot
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Skip to content Academic Personnel & Faculty Position Details Postdoctoral Scholar in Multi-Hazard, Multi-Sensor Monitoring at Mt Rainier - Geohazard Initiative – University of Washington Position
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Requirements Required experience includes: Significant experience implementing high performance sensor fusion and state estimation algorithms in real systems using, e.g., Kalman filters, particle filters, etc
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-transition-cruise regime. - Development of resilient state estimation through fusion of heterogeneous sensor modalities (IMU, GNSS, airspeed, vision, LiDAR), providing reliable localization and integrity
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planning in aquatic environments - State Estimation and Sensor Fusion for Localization and Mapping - Reactive terrain-aware navigation in dynamic and unstructured environments - Experimental
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processing. The candidate is expected to conduct research on fundamental problems such as multimodal learning, cross-sensor data fusion, spatial-temporal modeling, and scalable reasoning from incomplete
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 17 days ago
independently as well as collaborate effectively within a larger research team. Good written and spoken English. Experience with radar, signal processing, computer vision, autonomous driving, or sensor fusion is
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Infrastructure Engineering in general (Spatial/environmental statistics, geographic information systems, big data analysis and utilization, information sensing, sensor fusion/integration, intelligent
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special grounds, for example different types of statutory leave. You need a good knowledge of at least one of the following: state estimation and SLAM, sensor fusion, or control of aerial robots. Previous
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often lack robustness, interpretability, and reliability in uncertain and noisy conditions. To overcome these challenges, the PhD will explore multimodal sensor fusion, uncertainty-aware learning, and