Edoardo Patelli · University of Strathclyde

Rapid, uncertainty-aware surrogate models that replace expensive simulations with results in seconds, with Rolls-Royce as a potential industry partner.

Industry: Rolls-Royce (sought) | Start: Oct 2026

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

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

JC Chaplin (TBC) · University of Nottingham

A new approach for defining robotic assembly philosophies in nuclear manufacturing that accommodates IAEA-style feature safety significance.

Start: Oct 2026

JC Chaplin (TBC) · University of Nottingham

Verification, validation and uncertainty qualification (VVUQ) for digital twins in nuclear manufacturing, with explicit handling of twin drift.

Start: Oct 2026

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

Dr Paul Wood & Dr Urvashi Gunputh · University of Derby

Understanding how machine-finish surface textures and chatter affect residual stress and fatigue life in nuclear heat-resisting alloys, to accelerate qualification of new materials and processes.

Industry: Rolls-Royce (sought) | Start: Oct 2026

Dr Paul Wood & Dr Urvashi Gunputh · University of Derby

Additive manufacturing of nuclear components to replace forgings, reduce welds, integrate sensors, and demonstrate regulatory compliance.

Closes: 15 July 2026 | Start: Oct 2026

Angelo R. Maligno · University of Derby

A predictive digital engineering framework integrating ICME, physics-of-failure reliability modelling and AI-assisted digital twins for nuclear submarine systems.

Industry: Partner sought

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

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

Dr Ziwei Wang · Lancaster University

A tele-visual-tactile fusion framework for shared-autonomy teleoperation in contact-rich nuclear decommissioning, built on the Linkerbot platform.

Industry: TG0 Ltd | Start: Oct 2026

Michael Ward · University of Strathclyde

Robotic welding and Wire+Arc Additive Manufacturing (WAAM) of heavy steel components for the nuclear and maritime sector, hosted at the Maritime Supply Chain Innovation Centre.

Industry: Malin Group | Background: EE, ME, Physics, CS

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

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