Postdoctoral Fellow in Machine Learning and AI for Renewable Energy Systems King Fahd University of Petroleum & Minerals in Saudi Arabia

The Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) at King Fahd University of Petroleum & Minerals (KFUPM) in Saudi Arabia is seeking a postdoctoral fellow specializing in machine learning and artificial intelligence for renewable energy systems. This opportunity is ideal for researchers with a strong background in applying advanced computational techniques to energy and sustainability challenges. The position is supervised by Dr. Kashif Irshad, Senior Research Scientist at KFUPM, who has extensive experience in renewable and sustainable energy technologies development. The research will focus on leveraging AI and machine learning to optimize and innovate within renewable energy systems, contributing to the advancement of sustainable energy solutions. Applicants should hold a PhD in a relevant field and have demonstrated experience in the application of machine learning and AI to energy systems. Interested candidates are invited to submit their CV, cover letter in Word format, and all transcripts via email to Dr. Irshad. For more information about Dr. Irshad's research interests and background, please refer to his LinkedIn profile. This is a unique opportunity to join a leading research group at a top Saudi university and contribute to impactful research in the field of sustainable energy.