Unlock the Future of Sustainable Energy
We are seeking a highly motivated and talented PhD candidate to contribute to cutting-edge research in AI-driven energy systems, making a tangible impact on global sustainability.
The integration of AI and IoT technologies into energy management is revolutionizing the way we approach energy research. Our project focuses on optimizing minigrid maintenance using predictive models, with a specific emphasis on decentralized and renewable energy systems. This work has significant implications for developing countries, where reliable local energy systems drive economic development and quality of life.
About the Project
* A fully funded PhD position in AI-driven energy systems
* Supervised by Dr. Florimond Gueniat at the university's renewable energy laboratory
* International collaboration with Bangladesh Agricultural University for real-world impact
* Research involves experimental and computational work, including AI-based predictive maintenance models
Candidate Profile
* A strong academic background in artificial intelligence, electrical engineering, computer science, energy systems, or related fields
* An interest in renewable energy, IoT, and predictive maintenance
* Analytical thinking, problem-solving, and ability to work in international, interdisciplinary teams
Application Process
Apply by completing a challenge. Contact Dr. Florimond Gueniat via LinkedIn for details.