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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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for monitoring and analyzing the performance and states of the power system. By integrating artificial intelligence (AI) and machine learning into the power system's control and management systems, we can develop
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. Additional qualifications Knowledge within control engineering, data-driven methods, AI and machine learning. Knowledge in areas of electric power grid analysis or renewable energy production. Proficiency in
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is broad, we are looking for candidates with interest on machine-learning solutions, instrumentation, mine tailing characterization and lithospheric probing of the earth’s mineral systems to unravel