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solution will utilize information collected through specific sensors installed in the infrastructure, which will be processed by advanced Artificial Intelligence algorithms. The works listed for this grant
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the contract. Activity Outline: Research on real-time monitoring of tool and machining process performance, focusing on the integration of sensors within tool holders to collect continuous data on temperature
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(cameras, lighting, sensors) and the development of edge computing solutions to detect deviations and process failures. The plan also includes validation and testing activities in a pilot environment
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integration between mechanical components, actuators, sensors, and control systems. The candidate will participate in all stages of the project, from the design and definition of the automation architecture
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for one research grant within the framework of project ISA4RL - Integrating Instance Space Analysis with Auto-Reinforcement Learning for Adaptive Algorithm Selection and Configuration, with nº 15456, and
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established there must be fulfilled until the time of signing the contract. Activity Outline: Analysis of experimental data on photocatalytic hydrogen production using different catalysts and operating
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which the following factors will be considered: a) Experience and general skills in the areas of real-time wireless networks, sensor and actuator networks and embedded systems (up to 7 points; other
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algorithms for intrusion detection in distributed embedded systems. Applicable legislation and regulations: Law Nº. 40/2004, of 18th August, in its current wording (Statutes of Scientific Research Fellow) and
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until the time of signing the contract. Activity Outline: Grant holders will work on the following topics TASK 3: Empirical Analysis of Deep Learning and Generative Modeling Algorithms TASK 4: Development
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13 (5 points); Bachelor Degree classification lower than 13 (2 points); B. Knowledge of Cyber-physical Systems, Automation, CAN Communication Protocol, Machine Learning, AI, Sensor Networks