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. This PhD project in Natural Language Processing aims to design generative models capable of automatically simplifying texts into Easy-to-Read and Understand language while preserving their discourse
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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capable of automatically selecting the simulation strategy best suited to a given prediction objective, while optimizing the trade-off between accuracy and computational cost. The work will build on multi
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São Paulo, Brazil. The PhD candidate will join LAMIH UMR CNRS 8201, a research laboratory with strong expertise in automatic control, intelligent transportation systems, autonomous and electrified
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, and to test them experimentally. The next step will be to determine the distribution of deformations required to achieve complex shapes (inverse problem). Finally, we will seek to automatically produce