Postdoctoral Fellow in Electrical Engineering
Role Overview
The Department of Electrical and Power Engineering at United Arab Emirates University invites applications for a Postdoctoral Fellow in Electrical Engineering.
The funded project focuses on intelligent hybrid solar–hydrogen networks and AI-enhanced photovoltaic–thermoelectric generator–hydrogen systems for resilient clean energy.
Key Skills for This Role
Full Job Posting
Position and project
The Department of Electrical and Power Engineering at United Arab Emirates University invites applications for a Postdoctoral Fellow in Electrical Engineering.
The funded project focuses on intelligent hybrid solar–hydrogen networks and AI-enhanced photovoltaic–thermoelectric generator–hydrogen systems for resilient clean energy.
Research work
- Develop renewable-energy solutions through advanced modeling, optimization, intelligent control, and experimental validation.
- Research photovoltaic and hybrid renewable-energy architectures, hydrogen production and storage, and fuel-cell energy systems.
- Work on microgrid modeling, operation, energy management, AI-based forecasting, and intelligent control.
- Support system integration for resilient and sustainable clean-energy operation.
- Conduct independent and collaborative research and contribute to high-impact journal publications.
- Assist with experimental setup, validation, and system integration tasks.
- Help supervise student research activities within the project.
Minimum qualifications
- PhD in Electrical Engineering.
- Strong research background relevant to renewable energy systems, hydrogen systems, or intelligent energy management.
- Ability to contribute to 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
- A PhD in Electrical Engineering, Renewable Energy, Energy Systems, or a related discipline is listed as preferred.
- 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.
- Motivated, independent, and capable of working within a multidisciplinary research team.
Application instructions
- Applicants are asked to submit a detailed CV.
- The stated closing date is 05/12/2026.
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