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Anis Elgabli

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Postdoctoral Research in Optimization, Machine Learning, and Wireless Communications King Fahd University of Petroleum & Minerals in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

Saudi Arabia

University

King Fahd University of Petroleum & Minerals

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Keywords

Computer Science
Electrical Engineering
Wireless Communication
Logistics Management
Optimisation
Quantum Communication
Human Mobility
Video Streaming
Machine learning

About this position

Join the interdisciplinary research center for communication systems and sensing (IRC-CSS) at King Fahd University of Petroleum & Minerals for a postdoctoral research opportunity. The position is supervised by Dr. Anis Elgabli and Dr. Wessam Mesbah and focuses on cutting-edge research at the intersection of optimization, machine learning, and wireless communications. Research areas include distributed AI, federated learning, machine learning for wireless communications and networks, healthcare, mobility, logistics, V2X, Open RAN, intent-based networking, video streaming and coding, MIMO systems, integrated sensing and communications (ISAC), non-terrestrial communications, and quantum communications and computation.

Applicants should have a strong publication record in top-tier journals and conferences, and deep expertise in optimization, machine learning, and wireless communications or networks. The successful candidate will join a dynamic, interdisciplinary team working on high-impact projects with real-world applications. The position offers the opportunity to collaborate with leading researchers and contribute to innovative solutions in communication systems and sensing.

To apply, candidates must fill out the application form and upload their CV in PDF format. Only complete applications will be considered, and shortlisted candidates will be contacted. For more information, refer to the provided links.

Funding details

Available

What's required

Applicants must have a strong publication record in top-tier journals and flagship conferences, and deep expertise in optimization, machine learning, and wireless communications or networks. Candidates should be highly motivated and able to contribute to interdisciplinary research projects. No specific degree or language requirements are mentioned, but a PhD in a relevant field is implied.

How to apply

Fill out the application form at the provided link and upload your CV in PDF format. Only complete applications will be considered. Shortlisted candidates will be contacted.

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