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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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AND TRAINING: - Development of model/process chains that enable AI-based assistants to support human operators' decisions in power systems under model risk and uncertainty, and considering joint human
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in hypervision, decision support systems, and AI agents applied to power grid operations (based on LF Energy's GridFM and OperatorFabric projects).; - Scenario modeling using real and synthetic data
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months, starting on 2025-12-01 , with the possibility of being renewed for a maximum term of four years, in the cases of students enrolled in a PhD. Scientific advisor: Diogo Neves Workplace: INESC TEC
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of the system, including laboratory testing and/or in situ monitoring campaigns.; •Proposing predictive maintenance strategies based on the collected data and developed models, with the aim of optimising
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. SALARY LEVEL In accordance with article 15 of the RJEC and article 2 of Regulatory Decree no. 11-A/2017, of 29 December, the gross monthly base remuneration to be awarded is based on remuneration level 2
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. OBJECTIVES: The interest in direct current (DC) power distribution systems has been growing significantly, driven by the increasing use of power electronics-based loads and the rise of distributed energy
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basis. SALARY LEVEL In accordance with article 15 of the RJEC and article 2 of Regulatory Decree no. 11-A/2017, of 29 December, the gross monthly base remuneration to be awarded is based on remuneration
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Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication protocols (Modbus TCP, IEC 61850, etc.). ; Minimum
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study cycle or non-award courses of Higher Education Institutions. Preference factors: • Experience with computational simulation models / MATLAB/Simulink.; • Knowledge of industrial-grade communication