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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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6 Nov 2025 Job Information Organisation/Company Instituto Superior de Engenharia do Porto Department Human Resources Department Research Field Engineering » Computer engineering Researcher Profile
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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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Integrating Rule-based and Machine Learning Approaches (2024.07361.IACDC/2024)/ NOVA.ID.FCT – Associação para a Investigação e Desenvolvimento da FCT funded by Fundação para a Ciência e a Tecnologia, under the
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(No experience, Basic Knowledge, Solid Experience) Technical and Domain Knowledge Industrial Processes & Systems Artificial Intelligence and Machine Learning Cyber-Physical Systems and Sensing Innovation and
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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
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decreed by Law no. 78/2003, of 23 April. It will be advertised on the Euraxess Portugal portal at https://www.euraxess.pt , and on the University’s website, in both Portuguese and English, in accordance
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degree or equivalent qualifications in Engineering Physics. Technical Skills: Programming proficiency in Python and experience with machine learning frameworks such as PyTorch or TensorFlow; Experience
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to the category of assistant researcher. Experience in the development and application of machine learning algorithms to engineering problems. Proven experience in Python code development. Preferred qualifications