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. The project seeks to transform existing submarine communication infrastructure into a large-scale sensor network for the detection and monitoring of geophysical phenomena. 4. REQUIRED PROFILE: Admission
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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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of the art in emerging wireless networks; - identify and select the methodologies and approaches most suitable for the development of the work; - strengthen the research and development competencies
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interfaces (HMI), and industrial-grade communication protocols for automation in electric power systems.; • Develop and adapt a test network — a simulation model or a replica of a real network — for DIgSILENT
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selection of sensors and their respective lighting to be adopted.; 3. Study and development of algorithms for detecting inconsistencies.; 4. Study and implementation of operator interfaces.; 5. Assembly and
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cycle or non-award courses of Higher Education Institutions. Preference factors: • Prior work with radar, video processing, or sensor fusion technologies.; • Familiarity with data acquisition frameworks
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Education Institutions. Preference factors: - Knowledge of fundamental concepts related to energy management and gas networks; - Knowledge of optimization and forecasting models; - Knowledge of Python
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operating scenarios for power networks with a high penetration of renewable energy—one of the services to be offered by the collaborative laboratory currently under development.; This research grant offers a
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smart power grids. If you aspire to be part of this transformation and leave your mark on the future of power networks, join us!; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: Literature
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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: Development of novel Machine Learning techniques applied in systems/networks research, which includes, but is not