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Driven by the urgent challenges of climate change and energy security, energy systems are undergoing a paradigm shift toward a fully renewable and power-electronic-dominated future. This project aims to develop innovative solutions for the seamless integration and reliable operation of large-scale converter-interfaced renewable energy systems by leveraging AI-driven techniques.
The research focuses on developing advanced optimization and control strategies (e.g., deep reinforcement learning) for large-scale sustainable grids, to enhance overall system stability, flexibility, and resilience.
The project is funded by Swedish Energy Agency. The recruited researcher will join the Division of Electric Power and Energy Systems at KTH Royal Institute of Technology, collaborating closely with Swedish DSOs.
Requirements
Preferred qualifications
Great emphasis will be placed on personal skills.
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
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Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The employment is valid for a limited time according to the agreement - for up to 12 months, with access according to agreement.
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence
| Type of employment | Special fixed-term employment |
|---|---|
| Contract type | Full time |
| First day of employment | According to agreement |
| Salary | Monthly salary |
| Number of positions | 1 |
| Full-time equivalent | 100% |
| City | Stockholm |
| County | Stockholms län |
| Country | Sweden |
| Reference number | PA-2025-3347 |
| Contact |
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| Published | 17.Oct.2025 |
| Last application date | 15.Nov.2025 |