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-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound
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perception pipelines, including BIM-based SLAM, traversability map analysis, and 3D LiDAR/vision sensor fusion. • Design few-shot learning algorithms for robust detection of temporary construction objects
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estimation algorithms that operate reliably in challenging environments (e.g., low texture, illumination variation, dynamic scenes, or sensor degradation). The research will integrate model-based estimation
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top setup prototyping the translation of dynamic quantum algorithms such as double-bracket algorithmic cooling to applications in quantum sensing using NV centers. With whom? With Prof. Marek Gluza
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algorithms for cooperative target tracking in complex environments. The role will focus on multi-agent reinforcement learning, decentralized target assignment, occlusion-aware decision-making, and
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, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. The role will focus on merging advanced computational modeling, AI-driven control algorithms, and
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well as agritech sensors. Procure experimental equipment, sensors, and peripherals. Maintain data pipelines for greenhouse and CEA experiments, including adapting source code to different crop types (e.g., camera
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, converter control, and energy systems. Design, model, simulate, and develop advanced power electronic converter topologies and associated control algorithms. Investigate high-efficiency and high-power-density
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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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-latency operation, and improved robustness under photon-limited conditions. Develop hardware-software co-design for intelligent sensing, including implementation and evaluation of real-time or near-sensor