Wireless Networking Intern
Core
PhD intern applying neural networking and machine learning techniques to train data analysis models for wireless performance testing in a real-world lab setting.
Role type
PhD research intern (wireless networking & ML)
Builds
Wireless performance testing data analysis models and reports
Domain
Telecommunications / Wireless Networking / Machine Learning
Deliverable
production ML models
Required skills
Neural networking, machine learning, Python scripting, data analysis (SQL, pandas), TensorFlow, PyTorch, Scikit-Learn, radio/RF concepts, statistics
Preferred skills
End-to-end network performance testing tools (Speedtest, iPerf, ping), AI coding tools (Copilot, Claude), OS familiarity (iOS, MacOS, Android, Windows, Linux)
Technologies
TensorFlow, PyTorch, Scikit-Learn, Python, SQL, bash, Speedtest.net, iPerf
Responsibilities
Train data analysis models using ML/DL techniques, configure and deploy lab equipment, gather and analyze test data, develop performance reports for management
Seniority
PhD candidate (Research Intern)