Postdoctoral Fellow in Electrical Engineering

UAEU; Al Ain; On-site; AED 120,000 - 180,000; Full time

Job summary

The Department of Electrical and Power Engineering at United Arab Emirates University invites applications for a Postdoctoral Fellow position in Electrical Engineering. The successful candidate will contribute to high-quality, cutting-edge research in intelligent hybrid solar-hydrogen energy systems for carbon-free and resilient clean-energy futures.

The role focuses on modeling, optimization, intelligent control, and experimental validation within the funded project AI-Enhanced PV-TEG-Hydrogen

Qualifications

• PhD in Electrical Engineering.
• Strong research background relevant to renewable energy systems, hydrogen systems, or intelligent energy management.
• Ability to contribute to advanced research in intelligent hybrid solar-hydrogen networks and AI-enhanced clean-energy systems.
• Ability to support experimental development, system integration, and supervision of student research activities.

Responsibilities

• Conduct independent and collaborative research in intelligent hybrid solar-hydrogen networks.
• Contribute to high-impact journal publications.
• Assist in experimental setup and validation activities.
• Support system integration tasks for project deliverables.
• Help supervise student research activities within the project.

Skills

Strong research experience in renewabl

Modeling and optimization

AI/ML in energy systems

Supervising student research

Education

PhD in Electrical Engineering

Job description

Job Description:

The Department of Electrical and Power Engineering at the United Arab Emirates University invites applications for a Postdoctoral Fellow position in Electrical Engineering. The successful candidate will contribute to high-quality, cutting-edge research in the area of intelligent hybrid solar-hydrogen energy systems for carbon-free and resilient clean-energy futures. The position is associated with the funded project: Intelligent Hybrid Solar-hydrogen Networks for Carbon-Free Futures: AI-Enhanced PV-TEG-Hydrogen Systems for Resilient Clean Energy. The appointed postdoctoral fellow is expected to support the development of innovative solutions for next-generation renewable energy systems through advanced modeling, optimization, intelligent control, and experimental validation. The research will focus on topics such as photovoltaic and hybrid renewable-energy systems, hydrogen production and storage, fuel-cell-based energy systems, microgrid energy management, AI-enhanced forecasting and control, and system-level integration for resilient and sustainable operation. The successful candidate will be expected to conduct independent and collaborative research, contribute to high-impact journal publications, assist in experimental setup and validation activities, support system integration tasks, and help supervise student research activities within the project Research Areas Include Intelligent hybrid solar-hydrogen energy systems Photovoltaic and hybrid renewable-energy architectures Hydrogen production, storage, and fuel cell technologies Microgrid modeling, operation, and energy management AI-based forecasting, optimization, and intelligent control Experimental validation and system integration for resilient clean energy systems

• Intelligent hybrid solar-hydrogen energy systems
• Photovoltaic and hybrid renewable-energy architectures
• Hydrogen production, storage, and fuel cell technologies
• Microgrid modeling, operation, and energy management
• AI-based forecasting, optimization, and intelligent control
• Experimental validation and system integration for resilient clean energy systems

Minimum Qualifications:

• PhD in Electrical Engineering
• Strong research background relevant to renewable energy systems, hydrogen systems, or intelligent energy management
• Ability to contribute to advanced research in intelligent hybrid solar-hydrogen networks and AI-enhanced clean-energy systems
• Ability to support experimental development, system integration, and supervision of student research activities

Preferred Qualifications:

• PhD in Electrical Engineering, Renewable Energy, Energy Systems, or a related discipline
• Strong background in renewable energy and/or hydrogen technologies
• Experience in modeling, simulation, optimization, and/or laboratory-based research
• Knowledge of artificial intelligence or machine learning applications in energy systems is highly desirable
• Strong publication record and demonstrated research potential
• Highly motivated, independent, and capable of working within a multidisciplinary research team