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Field
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and simple embedding alignment to develop architectures that can process and reason across modalities (vision, language, audio, sensor data) from the ground up. How do we build a truly unified
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algorithms, like multi-camera approaches or sensor fusion. You will implement currently available methods in this area, evaluate their performance and systematically study their dependability. Onsite
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of Biomedical Engineering, please visit https://www.bme.ubc.ca/ . HuMBL, a research lab within the SBME, specializes specifically in wearable sensor technologies and algorithm-driven health analytics to enhance
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multi-sensor SLAM systems for firefighting robots, optimizing for speed, memory, and power. ROS2, Jetson platform experience, and deep understanding of SLAM backends are essential. Key Responsibilities
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The Research Engineer’s role’s is to work on research projects which involves developing of metacognitive algorithms and integrating multi-sensors for autonomous moving robot. Key Responsibilities
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control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
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with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do – development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion
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to conduct and lead research sensor array and radar processing. in particular the detection, localization and tracking of active and passive targets in a cellular network under harsh urban environment
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component. The battery management system (BMS) unit is not just a component, but a crucial element tasked with monitoring each cell of the battery and running algorithms to calculate state of charge (SoC
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systems with a particular emphasis on methods and systems that cope with imperfect knowledge and uncertain sensors. The research environment provides excellent opportunities for open-minded co-operation