Filtered Artificial Intelligence Jobs

Motivation

Achieving reliable, high-performance fusion requires a predictive understanding of turbulence and instability dynamics at the tokamak edge, where fluctuations spread nonlocally and strongly influence pedestal structure, confinement, and the approach to disruptive events. These processes are difficult to diagnose experimentally and too computationally intensive to model in real time with first-principles simulations, motivating new approaches that blend physics-based modelling with mode...

How do we build grid batteries that are cheap, safe and made from abundant materials?

Zinc-ion batteries (ZIBs) are a promising answer – zinc is low-cost, non-toxic and works in water-based electrolytes. But current ZIBs still suffer from limited lifetime and efficiency because the electrolyte, cathode and their interface are not optimised together.

This PhD will tackle that challenge head-on. You will design “smart” aqueous or gel electrolytes and matched cathode coatings that work as a single sy...

This is a four-year (1+3 MRes/PhD) studentship funded through the Cambridge EPSRC Centre for Doctoral Training in Future Infrastructure and Built Environment: Unlocking Net Zero (FIBE3 CDT). Further details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/.

The project is funded in collaboration with Ward & Burke, a leading engineering firm specialising in the design, manufacture, supply, installation, commissioning, operation and maintenance of water and wastewater infrastructure with...