Trustworthy AI for Smart Forming Production: Process Models that Know Their Limits
Abstract
AI can now predict forming outcomes in seconds rather than hours, opening the door to self-optimising production of lightweight vehicle components. Yet models trained on simulations fail silently when materials, tools or process conditions drift, so engineers cannot trust them in production.
This project will develop trustworthy, physics-grounded AI process models that know their limits: quantifying uncertainty, detecting when production has shifted beyond their validity, and recovering by learning from sparse inline data. You will join the Alan Turing Institute AI Pioneer Fellowship programme on AI-driven forming, alongside leading AI researchers and industrial partners across the vehicle value chain.
How to Apply
Please contact Dr Nan Li if you are interested in applying for this project.
For more information on submitting a PhD application, please consult our application pages here. When you submit your application, please cite this project title in the 'how you are planning to fund your PhD' section.
The deadline for submitting your application is 11 January 2027.