AI-Native Wireless Communication Systems for Next-Generation Networks

Format: On Campus
Number of Interns: 1-2
Duration of the Internship: 4-8 weeks (It can be arranged according to the research intern’s needs, with a minimum duration of 4 weeks and a maximum of 8 weeks.)
Start Date: 15 June 2026 (The start date can be adjusted according to the research intern’s needs.)
Finish Date: 4–8 weeks after the start date
Application Deadline: 15 May 2026
Project Supervisor: Asst. Prof. Dr. Çağatay Edemen

Project Description: This project focuses on AI-native wireless communication systems, where artificial intelligence is integrated directly into the design and operation of the physical and link layers of next-generation wireless networks. The intern will work on applying machine learning and data-driven approaches to channel modeling, signal processing, resource allocation, and adaptive communication strategies. The project aims to explore how AI can replace or enhance conventional model-based wireless communication techniques in 5G-Advanced and 6G systems.

Research Intern Responsibilities :

• Assisting in the development of AI-based wireless communication algorithm
• Supporting data generation, preprocessing, and model training for wireless channels
• Evaluating AI-native approaches for channel estimation, detection, or resource management
• Collaborating with the research team on simulations and performance analysis

Required Skills and Qualifications:

• Basic knowledge of wireless communication systems
• Fundamental understanding of machine learning or artificial intelligence concepts
• Experience with Python, MATLAB, or similar programming tools
• Familiarity with deep learning frameworks (e.g., PyTorch or TensorFlow) is a plus
• Strong analytical and problem-solving skills

Expected Learning Outcomes:

• Understanding AI-native wireless communication paradigms
• Hands-on experience with machine learning for physical layer problems
• Improved skills in data-driven modeling and simulation of wireless systems
• Exposure to cutting-edge 6G research topics

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