ML for RF: Building Resilient Autonomy in the Electromagnetic Environment
27 – 31 July 2026, Glasgow
The EME Hub is pleased to announce the next 5-Day Intensive Summer School & Challenge
What’s this about?
- This summer school aims to immerse participants in the emerging field of machine learning applied to RF systems, with a focus on developing resilience strategies for autonomous platforms operating in contested electromagnetic environments. Through lectures, hands-on labs, and a final competitive challenge, participants will learn to analyse, simulate, and defend communication links against intelligent jamming and spoofing attempts powered by AI-driven tactics.
Who’s this for?
Participants: This summer school is open to graduate students, early-career researchers, defence professionals, and engineers working in:
- RF systems, wireless communications, cybersecurity, or control/autonomy.
- AI/ML for communications and signal processing.
- Defence, resilient autonomy, or UxV operations.
What are the prerequisites?
To make the most out of this summer school, participants should have:
- A basic understanding of wireless communication principles and RF systems
- Foundational programming skills (Python preferred or similar).
- Enthusiasm for hands-on experimentation, red vs blue team strategy, and resilience engineering in electromagnetic conflict scenarios.
Registration
Participants are required to complete the expression of interest form accessed through the link below.
Registration is now closed
Full schedule of events to added soon