Postdoc - AI-Enhanced Hybrid Solar-Hydrogen Systems

United Arab Emirates University

Al Ain

On-site

AED 120,000 - 180,000

Full time

14 days+
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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

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

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