Research Intern

HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN

• Develop and extend functionalities in a machine-learning-based next-generation wireless networks prototyping framework.
• Optimize and deploy AI/ML models on GPU/accelerated edge devices.
• Configure and operate SDR hardware for baseband processing and over-the-air experiments.
• Design experiments investigating AI-native waveforms, channel estimation, end-to-end learning, and adaptive communication schemes.
• Collaborate with Radio Systems researchers of the Bell Labs Core Research team in wireless communications, machine learning, and embedded systems

Qualifications

• Enrolment in a Master''s/Ph. D program in Electrical Engineering, Computer Engineering, Computer Science, Telecommunications, or related discipline.
• Solid foundation in wireless communications, computer networks, and/or machine learning.
• Strong programming skills in Python and C++.
• Comfortable working with Linux, embedded devices, and complex open-source projects.

• Understanding of 4G/5G NR PHY/MAC procedures and signal structures.
• Experience deploying ML models on embedded GPU platforms. Familiarity with RF calibration, synchronisation, and real-world OTA testing.
• Contributions to open-source projects or peer-reviewed research in wireless or ML.