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University of Alberta

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PhD Position in AI for Wireless Communications and 6G Networks at University of Alberta University of Alberta in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Canada

University

University of Alberta

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Deep Learning
Mathematics
Artificial Intelligence
Wireless Communication
Reinforcement Learning
Resource Allocation
ML

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About this position

PhD position available in the Department of Electrical and Computer Engineering (ECE) at the University of Alberta, Edmonton, Canada.

The research group is recruiting a highly motivated PhD student to work on Artificial Intelligence in Wireless Communications, with possible directions including AI/ML for next-generation wireless systems (5G/6G and beyond), agentic AI and intelligent wireless networks, AI-driven resource allocation and network optimization, reinforcement learning and deep learning for wireless communications, and other emerging AI-enabled communication technologies.

Ideal applicants should have a strong background in Electrical Engineering, Electronics and Communication Engineering, Computer Science, or a related field. Helpful preparation includes wireless communications, signal processing, optimization, machine learning, and mathematical modeling.

Interested candidates should email their CV, academic transcripts, and a brief statement of research interests to [email protected] for further discussion. Only shortlisted candidates will be contacted.

This is a PhD opening, not a scholarship announcement. No funding details or deadline were stated in the post.

Funding details

Available

What's required

Applicants should be highly motivated and talented students with a strong background in Electrical Engineering, Electronics and Communication Engineering, Computer Science, or related disciplines. A solid foundation in wireless communications, signal processing, optimization, machine learning, or mathematical modeling is particularly encouraged.

How to apply

Email your CV, academic transcripts, and a brief statement of research interests to [email protected] for further discussion. Only shortlisted candidates will be contacted.

More information can be found here

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