This 2026 on-campus project is part of Özyeğin University’s first Undergraduate Research Summer Program. One or two interns will contribute to AI-native wireless communication research under Asst. Prof. Dr. Çağatay Edemen in Istanbul.
The work applies machine learning and data-driven methods to channel modeling, signal processing, resource allocation, and adaptive strategies for 5G-Advanced and 6G systems. Interns assist with algorithms, data preparation, model training, evaluation, simulations, and performance analysis.
Benefits & funding
- The university provides laboratory access, technical training, and academic guidance.
- Participants receive accommodation and lunch during the summer term.
- The project provides 4–8 weeks of hands-on work in machine learning for physical-layer wireless problems.
Eligibility
- Applicants must be enrolled in an undergraduate program; students at universities in Turkey, Özyeğin University students, and students enrolled outside Turkey may apply.
- Applicants need basic knowledge of wireless communication systems and foundational machine-learning or artificial-intelligence concepts.
- Experience with Python, MATLAB, or a similar tool and strong analytical and problem-solving skills are required.
- Familiarity with PyTorch or TensorFlow is an advantage, not a requirement.
- No nationality, residency, age, gender, or work-experience restriction is stated.
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Application process
- 1Review the project’s responsibilities, required skills, 4–8-week format, and adjustable start date.
- 2Open the Google Form linked from the official project page and submit the application by 15 May 2026.
- 3The relevant faculty supervisor evaluates applicants; accepted students are scheduled to be announced on 20 May 2026.
Program timeline
Application deadline.
15 May 2026
Accepted students scheduled to be announced.
20 May 2026
29 June 2026
Nominal project start; the supervisor may adjust it to the intern’s needs.
4–8 weeks after the actual start
Project ends.