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Field
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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collaborate closely with specialists in flight controls and sensor integration while maintaining a primary focus on fundamental algorithmic innovation. This individual will share and demonstrate NRC’s core
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, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted to complex 3D underground geometries. The research will be conducted in close
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for space and hypersonic applications, integrating heterogeneous sensor data (EO, radar, IMU, LiDAR) into robust orbit determination and relative navigation pipelines. The position spans theoretical algorithm
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow's technology in-house for a sustainable and secure society. When will
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integration. Key Responsibilities: Lead the design and development of mechatronic systems, including mechanical structures, sensors, actuators, and embedded control units. Review system design and firmware
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environments (e.g., MATLAB/Simulink, Python, C, C++) for control, guidance and navigation systems. Experience developing collision avoidance, path planning, sensor fusion, or situational awareness algorithms
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multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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Is the Job related to staff position within a Research Infrastructure? No Offer Description Computational geometry is the area within algorithms research dealing with the design and analysis