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Field
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acquisition, software development, and day-to-day technical execution of the project. Key Responsibilities Assist in the development, implementation, and testing of signal processing and imaging algorithms
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, characterization, optimization, and autonomous decision-making. Advance Bayesian optimization, active learning, machine learning, scientific models, genetic algorithms, and AI agents in physical laboratory systems
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point cloud techniques for geometric analysis; (b) develop and implement algorithms for 3D perception; (c) design and execute experiments to evaluate validate and refine algorithms and systems; (d
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exposure AI based algorithms to optimize the performance of integrated terrestrial and non-terrestrial networks (coverage, capacity, energy, exposure) Digital twin operation: dynamic environment-aware
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algorithms. 4. Assist with defining software objectives by analyzing user requirements, system features, and functionality. 5. Recommend software solutions by comparing pros and cons of custom versus off
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hardware exploration and sensor selection (e.g., LiDAR, cameras, Radar, GNSS) to define perception systems tailored to specific project and algorithmic requirements. - Performs hands-on system hardware
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to research, develop, and evaluate algorithms for a variety of signal and/or image processing applications. The successful candidate will have a solid background in computer science with strong skills in
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the fundamental challenges of multi-agent coordination and shared situational awareness, fostering the human-agent teaming essential for future mission success. By bridging the gap between sophisticated algorithms
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, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in
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( STAR ) and the Automated Design of Algorithms ( ADA ) research groups. Moreover, there are plenty of opportunities for interaction and collaboration with other groups at the institute and internationally