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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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identification through lab-scale and field experiments. Key Responsibilities: Develop algorithms for guided-wave analysis, response analysis, sensor fusion, and system identification using distributed and multi
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robotics and sensor fusion Experience in system integration and flight control Excellent communication and writing skills We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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the gathered survey data to explore advanced platform compensation techniques, map matching and magnetic navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial
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) students working across planetary science, sensor engineering, and data fusion. We are a small, focused group that values rigorous science, collaborative working, and practical impact. Your responsibilities
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). 5. Develop sensor fusion and navigation (e.g., IMU, vision, GNSS/DVL/encoders), with fault robustness 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Multi-platform reference architecture
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programme Reference Number AE2026-0217 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2026-0217
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) students working across planetary science, sensor engineering, and data fusion. We are a small, focused group that values rigorous science, collaborative working, and practical impact. Your responsibilities
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, sensor fusion, or multi-object tracking would be beneficial. Experience Experience in developing and training reinforcement learning or multi-agent learning policies in simulation. Experience in multi
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environments. Developing test apparatuses, digital twins, and virtual/physical testbeds using 3D rendering, CAD, and sensor fusion tools to validate repeatability and reproducibility. Collaborating with