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within the framework of project MULTI-COAT - MULTIscale Coating Optimization with Artificial intelligence Technologies, with number 15050 and operation code at the Funds Platform COMPETE2030-FEDER-00870200
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: Scientific Area: Data Science and Engineering; Electrical and Computer Engineering; Computer Science and Engineering; Artificial Intelligence; Computer Vision; Computer Science; Data Science; or Mathematical
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completed before the time of contracting. Work plan: The URBAN-NET project is led by FEUP and involves the research units LIACC – Artificial Intelligence and Computer Science Laboratory, CITTA – Research
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/F) Call open for applications for a research grant within the framework of project MULTI-COAT - MULTIscale Coating Optimization with Artificial intelligence Technologies, with number 15050 and
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Computer Science, Informatics Engineering, Artificial Intelligence or Data Science, or related area, a requirement to be duly proven at the time of signing the contract. or - To be enrolled in a non-academic degree
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following requirements may apply for this grant: Requirement 1: To be a student enrolled in a master degree or in an integrated master program in the area of Artificial Intelligence, Data Science, Informatics
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will be processed by advanced Artificial Intelligence algorithms. The numerous tasks for this grant will contribute to the project's activities. Namely: Installation of sensors on telecommunications
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will be processed by advanced Artificial Intelligence algorithms. The numerous tasks for this grant will contribute to the project's activities. Namely: Installation of sensors on telecommunications
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than 14/20 (1 point); B. Knowledge of Interactive Systems Design, Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and Artificial Intelligence, Sensor Networks