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u-blox is seeking an AI/ML intern for ionospheric modeling to enhance GNSS positioning performance. The role involves designing AI/ML models, analyzing spatio-temporal data, and collaborating with domain experts, while offering hands-on experience in satellite navigation.
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Job Summary
This role involves designing and implementing AI/ML models to predict ionospheric TEC corrections for real receiver applications.
The intern will explore modern sequence modeling approaches such as LSTM, GRU, Temporal CNNs, and Transformers.
Candidates will gain hands-on experience applying AI to real satellite navigation challenges with mentorship from experts.
Matching Summary
Match Score: 75
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u-blox is seeking an AI/ML intern for ionospheric modeling to enhance GNSS positioning performance. The role involves designing AI/ML models, analyzing spatio-temporal data, and collaborating with domain experts, while offering hands-on experience in satellite navigation.
**
Skills & Requirements
Must-have
Strong Python programming skills
Experience with PyTorch or TensorFlow
Modeling spatio-temporal patterns from GNSS data
Nice-to-have
Interest in GNSS, space weather, or signal processing
Analytical mindset and curiosity
Ability to communicate technical findings clearly
Key Requirements
MSc student or late-stage BSc in relevant field
Must be living and/or studying in UK or Finland
Work Rights
Must be living and/or studying in the UK or Finland