PhD Intern, AI ML in Wireless L1/L2 - Fall 2026
Core
Develop and optimize AI/ML modules for wireless signal processing in the Physical and MAC layers of a software-defined Radio Access Network (RAN) to advance 6G solutions.
Role type
PhD Research Intern, AI/ML for Wireless Communications
Builds
AI-native 6G Radio Access Network (RAN) functions and software-defined RAN frameworks
Domain
Telecommunications (Wireless) + Artificial Intelligence/Machine Learning
Deliverable
production ML models
Required skills
Wireless Layer 1/Layer 2 algorithms, AI/ML concepts and architectures (Transformers, CNNs), Signal processing simulation (Matlab, Python), C/C++ programming, Model training and optimization
Preferred skills
CPU/DSP/GPU architecture knowledge, Real-time multi-threaded application development, CUDA programming, NVIDIA GPU architecture familiarity