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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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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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, 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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-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
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detection algorithms for cracks, chokage, deformation, corrosion, etc. Establish datasets, annotation standards, training pipelines, and benchmarking protocols for ML models. Integrate uncertainty estimation