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MATLAB (with proven experience – 5 points; no experience – 0 points); c) Relevant experience and solid knowledge of computational modeling and simulation tools with finite elements, especially ABAQUS (with
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and will actively participate in research activities related to intelligent urban mobility studies, in particular mobility data analysis and modeling. Statistical modeling software and other tools
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laboratory experience in areas relevant to the project, namely: needs diagnosis and assessment; development of artificial intelligence-based forecasting models; and development of optimal control models
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evaluation will result from the sum of the curricular assessment and the interview score. If none of the candidates achieves a minimum final score of 15 points, the fellowship will not be awarded. Composition