Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation
Core
Develop quantitative and AI-enabled approaches to understand atomic-scale structures, defects, and structure-property relationships in advanced materials using advanced microscopy and atom probe tomography.
Role type
Postdoctoral Research Associate (AI & Materials Characterisation)
Builds
Next-generation materials discovery and high-impact research outcomes
Domain
Materials Science, Atomic-Scale Characterisation, Artificial Intelligence
Deliverable
production ML models | research
Required skills
advanced microscopy, atom probe tomography (APT), quantitative analysis, computational methods, programming, AI/machine learning, data analysis
Preferred skills
experience with TEM, SEM, EBSD, XRD, complex materials datasets, student supervision, grant development
Technologies
APT, TEM, SEM, EBSD, XRD
Responsibilities
conduct innovative research using advanced microscopy and characterisation techniques; develop and apply quantitative, computational and AI-enabled approaches to materials characterisation and data analysis; collaborate with multidisciplinary teams and industry partners; contribute to student supervision, research training, and dissemination of research.
Seniority
Postdoctoral Research Associate
