Postdoc: AI-Driven Atomic-Scale Materials Characterisation

Centre for Continuing Education; Sydney; On-site; AUD 118,000 - 126,000; Full time

Job summary

The Centre for Continuing Education at the University of Sydney invites applications for a Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation. The role sits in AMME and involves collaboration with an international team to advance AI-driven materials analysis.

The successful candidate will combine advanced microscopy, APT and data science to uncover atomic-scale structure–property relations, mentor HDR students, and contribute to high-impact publications and

Qualifications

• PhD in Materials Science and Engineering, Physics, Materials Characterisation, Computational Materials Science, or a closely related discipline.
• Demonstrated expertise in advanced microscopy and microanalysis techniques, particularly atom probe tomography (APT).
• Experience with complementary characterisation techniques such as TEM, SEM, EBSD and XRD, and the analysis of complex materials datasets.

Responsibilities

• conduct innovative research using advanced microscopy and characterisation techniques to investigate atomic-scale structure, chemistry and materials behaviour
• develop and apply quantitative, computational and AI-enabled approaches to materials characterisation, data analysis and scientific discovery
• collaborate with multidisciplinary research teams, industry partners and international collaborators to deliver high-impact research outcomes
• contribute to student supervision, research training, grant development and the dissemination of research through leading journals and conferences.

Skills

Advanced microscopy

Atom probe tomography (APT)

TEM

SEM

EBSD

XRD

Computational methods

AI / ML

Data analysis

Communication skills

Supervision

Multidisciplinary teamwork

Education

PhD in Materials Science and Engineering

Job description

The Centre for Continuing Education at the University of Sydney invites applications for a Postdoctoral Research Associate in AI Enabled Atomic-Scale Materials Characterisation. The role sits in AMME and involves collaboration with an international team to advance AI-driven materials analysis.

The successful candidate will combine advanced microscopy, APT and data science to uncover atomic-scale structure–property relations, mentor HDR students, and contribute to high-impact publications and