The Ionosphere and GNSS

The ionosphere remains one of the largest error sources in GNSS. At u-blox, we are advancing next‑generation receiver technologies that intelligently mitigate these effects using data‑driven models.

Role Overview

We are looking for an AI/ML intern to help model ionospheric Total Electron Content (TEC) behavior and generate practical correction strategies that enhance positioning performance across diverse environments and operating conditions.

What you’ll work on

• Design and implement AI/ML models to predict ionospheric TEC corrections for real receiver applications.
• Learn and model spatio‑temporal patterns from GNSS measurements, TEC maps, and space‑weather indicators.
• Explore and benchmark modern sequence modeling approaches (e.g., LSTM/GRU, Temporal CNNs, Transformers).
• Evaluate how learned corrections improve positioning accuracy and robustness under varying conditions (la...