Advanced Energy Researcher for Sustainable Energy Futures

7 days ago

Tuam, Galway, Ireland beBeeRenewableEnergy Full time €25,000 - €30,000
Job Opportunity: PhD in AI-Driven Energy Systems

Are you a motivated and innovative researcher looking to advance your career in the field of sustainable energy?

This fully funded PhD position is an exciting opportunity to contribute to cutting-edge research in AI-driven energy systems, focusing on IoT and predictive maintenance strategies for smart energy systems.

The project aims to reduce operational costs, enhance reliability, and facilitate the adoption of renewable energy technologies in decentralized and renewable energy contexts.

Key Research Areas
  • AI-driven maintenance optimization for minigrids
  • Predictive maintenance strategies for smart energy systems
  • Renewable energy technologies in decentralized contexts

The successful candidate will have a strong academic background in artificial intelligence, electrical engineering, computer science, or related fields, with interests in renewable energy, IoT, and predictive maintenance.

As part of this international collaboration, you will work closely with Dr. Florimond Gueniat and colleagues from Bangladesh Agricultural University, providing opportunities to work in the UK and Bangladesh.

Requirements and Qualifications
  • Strong academic background in AI, electrical engineering, computer science, or related fields
  • Interest in renewable energy, IoT, and predictive maintenance
  • Analytical thinking, problem-solving, and ability to work in international teams
  • Programming skills and experience with experimental research are advantageous but not mandatory
Benefits and Opportunities

This PhD opportunity offers a platform with full funding, cutting-edge facilities, and international collaboration.

You will be part of a dynamic and modern institution, with access to state-of-the-art laboratories and research centers.

Application Process

To apply, please contact Dr. Florimond Gueniat by LinkedIn for details on the application process and requirements.

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