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Field
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. Work will emphasize the development and analysis of advanced methods in areas such as sparse signal recovery, compressed sensing, and statistical estimation, with a particular focus on their role in
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platforms and field validation. Key Responsibilities Develop advanced methods in robust and adaptive control , state estimation , and motion planning Design and implement control and perception algorithms for
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statistical methods for functional data, specifically with a focus on sample size estimation or reliability for functional data. ability to work both independently and as part of a research group. In
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field robotics and tests its methods on robots in real environments. We are now looking for a postdoctoral researcher to work on localisation and mapping for robots in GPS-denied environments, where dust
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, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Work assignments You will join the research project Countering Bias in AI Methods in
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University of California, San Diego | Estancia de San Diego, Guanajuato | Mexico | about 8 hours ago
-order predictions together with heterogeneous observational data. • Integrate data driven methods into a framework for uncertainty-aware ocean state estimation. • Apply and validate the framework using
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enabling process monitoring, learning, and policy training while ensuring safety and efficiency. For this, we develop novel learning-based control methods with practical applicability and theoretical
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field robotics and tests its methods on robots in real environments. We are now looking for a postdoctoral researcher to develop sensing and autonomy for drones that inspect infrastructure and terrain in
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state-estimation methods that fuse LiDAR, IMU, camera, and wheel-odometry data in GPS-denied, low-light environments. Implement LiDAR-based or LiDAR-inertial SLAM, factor-graph or pose-graph
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Develop methods for animal and environment reconstruction Develop methods for behavior understanding from multi-view video and audio recordings Advance multimodal large language models for fine-grained