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- Research and development of microgrid and next-generation power grid stability technologies
- Optimal design of distributed energy resources and energy storage systems
- Development and scale-up demonstration of power control system operation algorithms and platforms (e.g., Digital Twin, AI prediction engine)
- Development and validation of data-driven power system state simulation/prediction, anomaly diagnosis, and optimization algorithms using artificial intelligence, machine learning, etc.
- Verification, evaluation, and integration of key technologies into solutions
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- Education: Bachelor¡¯s degree or higher
- Preferred majors: Electrical Engineering, Energy Systems Engineering, Electronic Information Engineering, or related fields
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- At least 3 years of experience in research or projects related to power grids, microgrids, distributed resource management, and distribution network stability improvement
- Advanced modeling and analysis capabilities such as power system simulation, data-driven AI prediction, and digital twin
- Programming/scripting and data analysis skills (using open source or MATLAB SIMULINK, etc.)
- No restrictions on overseas travel
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- Pilot/Commercial ½ÇÁõ ÇÁ·ÎÁ§Æ® ¹× »ó¿ëÈ ÀüȯÀ» À§ÇÑ ±âȹ, ½ÇÇà, »êÃâ¹° °ü¸® °æÇè
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- ±Û·Î¹ú Àü·Â/¿¡³ÊÁö °ü·Ã Ç¥ÁØ(IEC, IEEE µî) ÀÌÇØ ¹× Àû¿ë °æÇè
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- Experience in technology adoption and system integration through collaboration with internal research teams, external partners, and vendors (e.g., power/control/AI solution companies)
- Experience in developing power grid operation systems and real-time data-based analysis platforms such as SCADA, PMU, EMS, etc.
- Experience in planning, execution, and deliverable management for pilot/commercial demonstration projects and commercialization transition
- Experience in economic evaluation or optimization review related to power systems
- Participation and collaboration experience in domestic and international projects related to the power industry
- Understanding and application experience of global power/energy standards (IEC, IEEE, etc.)
- Experience collaborating with multinational partners and research institutions
- Excellent proficiency in spoken and written English preferred
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