Causal Discovery for Root Cause Analysis and Risk Prediction
Edoardo Patelli · University of Strathclyde
Causal inference and uncertainty-aware models to identify hidden root causes and predict long-term risk in nuclear infrastructure and associated assets.
Industry: Risktec (sought) | Start: Oct 2026
Embedded Strain Sensors for Process Monitoring and Digital Twinning
Dr Andrew Viquerat · University of Surrey
Embedded fibre-based strain sensors for in-situ monitoring and digital twinning of composite structures in civil and defence nuclear systems, with AWE as industry partner.
Industry: AWE | Closes: 31 Aug 2026
Long-Term Digital Threads for Nuclear
JC Chaplin (TBC) · University of Nottingham
Preserving design intent across decades-long lifecycles. A semantic digital thread approach for design, manufacture, inspection, in-service and end-of-life.
Start: Oct 2026
Control-Aware Active Perception for Underwater Inspection
David Cheneler · Lancaster University
Autonomous underwater inspection systems for assessing the structural integrity of submarines, ship hulls and marine infrastructure using non-destructive testing.
Industry: Sonomatic | Start: Oct 2026
Embedded Edge-Intelligence for Contact-State Estimation
Dr Ziwei Wang · Lancaster University
Real-time tactile inference on resource-constrained embedded hardware for blind insertion, seal engagement and contact-guided manipulation in nuclear maintenance.
Industry: TG0 Ltd | Start: Oct 2026
Hyperspectral Imaging of Nuclear Canisters
Ewan Nicolson · University of Strathclyde
Automated in-process ultrasonic inspection of high-integrity welds for BAE Systems submarine geometries. Targets more than 55% reduction in weld process time.
Industry: BAE Systems | Background: EE, ME, Physics, CS
In-Process Weld Inspection during Submarine Build
Paul Murray · University of Strathclyde
Hyperspectral imaging techniques for non-destructive assessment of nuclear canisters, in partnership with Fraunhofer.
Industry: Fraunhofer | Background: EE, ME, Physics, CS