Postdoctoral Fellow: AI‑Driven Solar–Hydrogen Energy Systems

Job DescriptionThe 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 systemsJob DescriptionThe 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 systemsMinimum QualificationPhD 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 activitiesPreferred QualificationPhD 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 teamSpecial Instructions to ApplicantSubmit a detailed CVClose Date Kindly apply before the closing date.31/05/2026ApplyDepartmentDivisionGradePosting NumberPosition Number#J-18808-Ljbffr