To develop a defence-ready, low-cost alternative to AI post-training that lets air-gapped AI systems rapidly adapt in the wild.
Objectives
- Build a local “module bank” of lightweight adapters (LoRAs) covering defence relevant sensors and tasks.
- Train a learned router that picks and combines the right modules for new scenes, using crossmodal alignment and simple ondevice self-supervision
- Prove the system on air?gapped edge hardware, measuring speed, accuracy, and reliability under distribution shift
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University of Edinburgh PhD Scholarship
Aim and Benefits of University of Edinburgh PhD Scholarship
- Full funding is available for this position.
Requirements for University of Edinburgh PhD Scholarship Qualification
Application Deadline
January 31, 2026How to Apply
Interested and qualified? Go to
University of Edinburgh on study.ed.ac.uk to apply
For more information, kindly visit University of Edinburgh webpage.