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) and hosted at the Institute of Energy and Environment (IEE-USP). Applicants must have experience in atmospheric numerical modeling, climate data analysis, and extreme events. Applications must include
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performance in the PhD course; articles in international journals on the subject of the fellowship project; experience in modeling, numerical simulations, and computational programs of chaotic particle
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incorporating local constraints (stress, displacement, temperature) via the Augmented Lagrangian method and global compliance constraints, applying coupled thermomechanical simulations to predict performance in
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planets, and trans-Neptunian objects in retrograde motion. Traditional orbital dynamics methods will be combined with machine learning techniques, such as convolutional neural networks and Vision