Radar Perception & ML Intern – Summer

Tiami Networks develops Future

G sensing technologies using multi-band radar sensors and AI-driven radar perception systems. Our work focuses on applications such as ISAC-based health monitoring, distributed joint sensing, and long-range detection of small-RCS drones.

We are seeking a Radar Perception & Machine Learning Intern to contribute to radar signal processing, perception algorithms, and real-time sensing pipelines.

• Support vital sign sensing algorithms (respiration and heart-rate extraction)
• Assist with multi-radar integration and sensor fusion
• Build and evaluate ML models for radar perception and classification
• Assist with real-time radar data capture and processing pipelines on Linux

• Background in radar signal processing or RF sensing
• Experience with MATLAB, Python for algorithm development
• Familiarity with FMCW radar concepts (FFT, Doppler, CFAR)
• Comfortable working in Linux environments
• mmWave Radar, X-bands Radar.
• Real-time hardware in loop experiments.

• Pursuing MS or PhD in Electrical Engineering, Computer Engineering, Robotics, AI, or related field
• Interest in radar sensing, signal processing, ISAC, and machine learning.

March 20
-June 20.

Three months (full time, 40 hours/week).