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should possess a strong background in advanced computing and data science, machine learning, or in a related field, with expertise in monitoring data reliability, quality assurance, and AI modelling
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Predictive Maintenance: employing big data analytics to assess ballast degradation and particle morphology, supported by machine learning algorithms. Data-Driven Numerical modelling Simulations: leveraging
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concrete affected by internal expansion reactions. The main tasks to be accomplished are: • Acquire knowledge about the expansive phenomena and their modelling, considering the thermo-hygrometric
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location LNEC – National Laboratory for Civil Engineering, I.P. Avenida do Brasil, 101 – 1700-066 Lisboa Country: Portugal Website: https://www.lnec.p t Email: recrutamento@lnec.pt The research activities
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: Portugal Website: https://www.lnec.pt Email: recrutamento@lnec.pt The research activities shall be carried out at the Concrete Dams Department of LNEC, without prejudice to the possibility of carrying out