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, Automation, Machine Learning and Artificial Intelligence, Sensor Networks, Hierarchical Decision and Control Systems, with a primary focus on manufacturing and autonomous systems. (1 to 5 points); C
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also be expected to carry out physicochemical analyses to assess the stability and quality of treated substrates (e.g. pH, electrical conductivity, water retention capacity, textural assessment, organic
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electrical and Computers Engineering - Specialization in Automation - lower than 13/20 (1 point); B. Knowledge of Cyber-Physical Systems, Predictive Maintenance Systems, Automation, Machine Learning and
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– up to 1.5 points; No – 0 points; iii. Attendance of courses in the area of computer simulation of the hygrothermal behaviour of building components and/or energy efficiency of buildings: Yes – up
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the main objectives are: i) evaluation of the resilient and long-term permanent deformation cyclic behaviour; ii) evaluation of quality control parameters; iii) constitutive modelling geotechnical parameters
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points); b) Publications in the area of artificial intelligence, machine learning, computational simulation and multi-agent systems (maximum 5 points); c) Research experience in the project area (maximum