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, Informatics, or a related discipline. A strong academic record is required, corresponding to a weighted average grade of B or higher. Experience with computational fluid dynamics (CFD) simulations is highly
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Department of Computer Science and Computational Engineering, and the Department of Geosciences. Research infrastructure is provided via existing data, sensor networks, and established field sites along
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. Knowledge of sensor selection, integration, calibration, sensor fusion, and real-time data acquisition/processing frameworks. Experience with robot simulation, digital twin development, and physics-based
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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actuators, sensors, and multifunctional fluidic components • Develop novel fluidic computation frameworks for programmable behaviours, sequential control, distributed intelligence, and autonomous decision
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for creating a complete simulation framework based on CONRRAD and automated driving functions that fully utilise its multi-sensor stack. You could also develop your own research portfolio by supervising MSc
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for identifying willow shrubs and other relevant vegetation classes from different remote sensing sensors; design and conduct ecological and remote-sensing fieldwork in Norwegian mountain environments; integrate
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial, acoustic, visual, and magnetic) for underwater sensing and long-range navigation for autonomous
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22 Aug 2026 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3