Uk – Fully Funded Phd In Ai-Driven Energy Systems At Birmingham City University

3 weeks ago

Galway, Galway, Ireland Azarapply Full time

UK – Fully Funded PhD in AI-Driven Energy Systems at Birmingham City University
Join to apply for the
UK – Fully Funded PhD in AI-Driven Energy Systems at Birmingham City University
role at
PhDFinder
.
University:
Birmingham City University
Country:
United Kingdom
Deadline:
Fields:
Artificial Intelligence, Electrical Engineering, Energy Systems, Computer Science, Renewable Energy
Overview
Are you passionate about leveraging artificial intelligence to revolutionize energy systems and make a tangible impact on global sustainability?
This fully funded PhD opportunity at Birmingham City University could be the next step in your academic and professional journey.
Strong demand for smarter, more resilient, and accessible energy systems is transforming the global landscape of energy research.
The integration of AI and IoT technologies into the management and maintenance of minigrids is paving the way for affordable, reliable, and sustainable energy solutions, especially in developing regions.
Research Topic and Significance
PhD project: "AI-Driven Maintenance Optimization for Minigrids," focusing on IoT and predictive maintenance for smart energy systems.
In the context of decentralized and renewable energy, efficient minigrid management is critical to energy accessibility.
The research is particularly relevant for developing countries, where reliable local energy systems drive economic development and quality of life.
The project aims to reduce operational costs, enhance system reliability, and facilitate the adoption of renewable energy technologies, with outcomes that can influence sustainable infrastructure and energy policy globally.
Project Details
This fully funded PhD position is supervised by Dr. Florimond Gueniat and is based at Birmingham City University's renewable energy laboratory.
The research will involve both experimental and computational work, developing and validating AI-based predictive maintenance models for minigrids.
The project includes international collaboration with Bangladesh Agricultural University, enabling work in the UK and Bangladesh to ensure global relevance and real-world impact.
Candidate Profile
Strong academic background in artificial intelligence, electrical engineering, computer science, energy systems, or related fields.
Interest in renewable energy, IoT, and predictive maintenance.
Analytical thinking, problem-solving, and ability to work in international, interdisciplinary teams.
Experience with experimental research, programming, or data analysis is advantageous; willingness to learn is essential.
Motivated, innovative, and eager to contribute to research bridging technology and sustainability.
Application Process
You can apply here by the Wednesday 17th September 2025:
To be considered for an interview, you may need to complete a small challenge.
Please contact Dr. Florimond Gueniat via LinkedIn for details.
For more information, refer to the official advertisement.
LinkedIn advertisement
Conclusion
If you are ready to advance your research career and contribute to the future of sustainable energy, this PhD opportunity offers a platform with full funding, cutting-edge facilities, and a global research partnership.
Apply promptly and explore similar opportunities to shape the energy solutions of tomorrow.
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