electrodes and cells. The project will connect atomistic mechanisms to electrode-scale behaviour across four mutually reinforcing levels. A distinctive feature of the project is the integration of AI computation with multiscale characterisation such as 3D-FIB-SEM and Nano X-ray CT. The student will benefit from the research environment at the University of Birmingham, including access to the Facility for Electron Microscopy and national HPC computational resources. The project is suitable for candidates with backgrounds in materials science, chemistry, chemical engineering, mechanical engineering, computational modelling, physics or related disciplines, and will provide training in atomistic simulation, machine learning, image-based modelling, high-performance computing and advanced battery characterisation.

electrodes and cells. The project will connect atomistic mechanisms to electrode-scale behaviour across four mutually reinforcing levels. A distinctive feature of the project is the integration of AI computation with multiscale characterisation such as 3D-FIB-SEM and Nano X-ray CT. The student will benefit from the research environment at the University of Birmingham, including access to the Facility for Electron Microscopy and national HPC computational resources. The project is suitable for candidates with backgrounds in materials science, chemistry, chemical engineering, mechanical engineering, computational modelling, physics or related disciplines, and will provide training in atomistic simulation, machine learning, image-based modelling, high-performance computing and advanced battery characterisation.