University: Birmingham City University
Country: United Kingdom
Deadline: 2025-09-17
Fields: Artificial Intelligence, Electrical Engineering, Energy Systems, Computer Science, Renewable Energy
Are you passionate about leveraging artificial intelligence to revolutionize energy systems and make a tangible impact on global sustainability? If you are driven to apply your technical expertise to real-world challenges, 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. This PhD position offers you the chance to contribute to this critical field, working with cutting-edge facilities and international collaborators.
About The University Or Research Institute
Birmingham City University (BCU) is a dynamic and modern institution located in the heart of Birmingham, the United Kingdom’s second-largest city. Renowned for its strong emphasis on practical research and industry collaboration, BCU offers a vibrant academic environment that attracts students and researchers from around the globe. The university is committed to fostering innovation, particularly in engineering, technology, and the creative industries, and boasts state-of-the-art laboratories and research centers. Birmingham itself is a thriving hub for technology, business, and culture, offering students a rich and diverse experience both on and off campus. The university’s focus on applied research and global partnerships makes it an ideal setting for impactful doctoral studies.
Research Topic and Significance
The PhD project centers on “AI-Driven Maintenance Optimization for Minigrids,” with a specific focus on employing IoT and predictive maintenance strategies for smart energy systems. As the world transitions towards decentralized and renewable energy sources, the efficient management and maintenance of minigrids become critical to ensuring energy accessibility and affordability. This research is particularly relevant in the context of developing countries, where reliable local energy systems can drive economic development and improve quality of life. By integrating advanced AI-driven techniques, the project aims to reduce operational costs, enhance system reliability, and facilitate the widespread adoption of renewable energy technologies. The outcomes have the potential to shape sustainable infrastructure and influence energy policy on a global scale.
Also See
* UK – PhD in Electromagnetic Energy Harvesters at Birmingham City University
* UK – PhD in Digital Construction & Sustainability at Birmingham City University
* Europe – Postdoc in Grid-Connected Power Converters at Luxembourg Institute of Science and…
* Denmark – PhD in Coordinated Operation of Local Energy Systems at Technical University of Denmark
* Finland – PhD in Sentient AI at University of Oulu
Project Details
This fully funded PhD position is supervised by Dr. Florimond Gueniat and is based at Birmingham City University’s newly established renewable energy laboratory. The research will involve both experimental and computational work, utilizing state-of-the-art facilities to develop and validate AI-based predictive maintenance models for minigrids. A unique aspect of this project is its international collaboration with Bangladesh Agricultural University, providing candidates with the opportunity to work in both the UK and Bangladesh. This dual-location approach ensures the research has global relevance and real-world impact, allowing for the direct application of developed solutions in diverse settings.
Candidate Profile
Ideal applicants for this position will have a strong academic background in one or more of the following areas: artificial intelligence, electrical engineering, computer science, energy systems, or related fields. Candidates should possess a keen interest in renewable energy, IoT, and predictive maintenance, as well as a passion for applied research that addresses pressing societal challenges. Analytical thinking, problem-solving skills, and the ability to work collaboratively in international and interdisciplinary teams are essential. Previous experience with experimental research, programming, or data analysis will be advantageous, but a willingness to learn and adapt is equally important. Applicants should be motivated, innovative, and eager to contribute to impactful research that bridges technology and sustainability.
Application Process
You can apply here by the Wednesday 17th September 2025:
https://lnkd.in/en5PDEbj
In Order To Be Selected For An Interview, You Will Need To Complete a Small Challenge, So Please Contact Dr. Florimond Gueniat By LinkedIn For The Details. For More Information, Please Refer To The Official Advertisement
https://www.linkedin.com/posts/fgueniat_phdpositions-fullyfundedphd-energyresearch-activity-7364337273099755521-Tixt
Conclusion
If you are ready to advance your research career and make a meaningful contribution to the future of sustainable energy, this PhD opportunity at Birmingham City University offers the perfect platform. With full funding for both domestic and international students, cutting-edge facilities, and a truly global research partnership, you will be well-equipped to drive innovation in AI-driven energy systems. Interested candidates are encouraged to apply promptly and explore similar opportunities to shape the energy solutions of tomorrow.
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