Research Intern Santa Clara

Ericsson • Santa Clara, CA

1d • $48 - $57 • Onsite

About The Position

The advent of next-generation wireless networks and the development of Network Digital Twins (NDT) have created an urgent need for accurate modeling of radio wave propagation in complex physical environments. Central to this modeling is to estimate how radio signals interact with surfaces through phenomena such as reflection, refraction, absorption, and transmission. Traditionally, the characterization of material Radio Frequency (RF) properties has been conducted in controlled laboratory settings using specialized equipment. However, as wireless networks become increasingly ubiquitous and applications such as Integrated Sensing and Communication (ISAC) emerge, there is growing interest in estimating surface RF properties directly within the physical environments where networks are deployed. This shift from laboratory to in-situ measurement presents significant technical challenges but offers the potential to enable scalable deployment of NDT technologies that can adapt to real-world conditions.
We are seeking a full-time intern to pursue independent research in the area of surface RF properties estimation utilizing Radio Radiance Fields techniques and inverse rendering techniques.

Requirements

• Currently enrolled in a Master’s or PhD program in Electrical Engineering, Computer Science, Artificial Intelligence, Telecommunications, or a related field
• Ability to prototype, document and demonstrate research results.
• Good programming skills in Python and C++ as well as knowledge of signal processing and physics-based rendering for computer graphics.

Responsibilities

• Study the emerging concept of Radio Radiance Fields and train RF Gaussian Splatting models
• Study inverse rendering techniques and apply them to the radio domain
• Evaluate estimated surface RF properties against provided truth

What This Job Offers

• Job Type: Full-time
• Career Level: Intern