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Field
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the Principal Investigator (PI) on the project “Meta-Learning of Robust State Estimation for Agile Mobile Robots.” The position focuses on advancing state estimation and odometry for robotic systems, with
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functions, as well as visualisation of multi-sensor data. You will also support the optimisation of full-stack automated driving pipelines and contribute to the design and evaluation of novel perception
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dynamics, control algorithms and sensor integration can be designed as a coherent system to improve speed, range, maneuverability, response time and operational robustness while also having underwater
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, 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-behavior analysis models
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. Preferred Skills/Experience areas include: Degree in Computer Science or Mathematics Data processing, modeling, or visualization Exposure to sensor systems, embedded systems, or robotics Agile development
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bioactuators with enhanced force transmission (Filippi et al., Science Advances, 2025); sensor-embedded muscle for closed-loop, proprioceptive control of biohybrid robots (Filippi et al., Advanced Intelligent
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intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
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with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is expanding its Robotics and Embodied AI (EAI) capabilities, building a cohort of
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healthcare solutions. Key Responsibilities: Develop and optimize flexible electronic devices, including sensors, actuators, and integrated circuits for health monitoring / wearable robotics applications
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Science, Electrical Engineering, or a related field, with strong programming skills in Python and/or C/C++. Familiarity with PyTorch, Linux, and sensor-based data collection is required. Experience in robotics, indoor