Postdoctoral Fellow – Atomic-scale modelling of hydrogen embrittlement

UNSW; Montreal; On-site; AUD 110,000 - 118,000; Full time

Job summary

Join UNSW as a Postdoctoral Fellow to work on an exciting project focused on atomic-scale modelling of hydrogen embrittlement. This full-time role involves advanced simulations and modeling to aid in alloy design, contributing to innovative research in material science.

Qualifications

• Must have a PhD or relevant experience.
• Strong experience in atomic-scale simulations.
• Proficiency in scientific programming required.

Responsibilities

• Perform ab-initio and molecular dynamics simulations.
• Develop inter-atomic potentials using classical and ML methods.
• Model hydrogen trapping and redistribution in microstructures.

Skills

Scientific programming languages

Atomic-scale simulations

Inter-atomic potential development

Research track record

Interpersonal skills

Teamwork skills

Education

PhD in related disciplines

Tools

Python

Matlab

C

Shell script

Job description

Postdoctoral Fellow – Atomic-scale modelling of hydrogen embrittlement

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The Opportunity

We are welcoming applications for a Postdoctoral Research Associate as part of a recently awarded ARC discovery project between UNSW Sydney and the University of Sydney. The goal of the project is to determine how hydrogen affects deformation at different microstructural features in alloys, to aid future alloy design. The UNSW team, led by A/Prof Patrick Burr, will provide the modelling contributions, while the team at USyd, led by Prof Julie Carney and Dr Ranming Liu, handles the experimental work. The candidate will integrate modelling work within the experimental tasks. For more info on A/Prof Patrick Burr's group, visit https://www.patrickburr.com/group

This Job is based in Australia

Role Responsibilities

You will perform ab-initio and molecular dynamics simulations, develop inter-atomic potentials using classical and machine-learning approaches, and model hydrogen trapping, quantum tunnelling, and hydrogen redistribution in microstructures.

This position suits candidates with a strong background in computational material science.

The role reports to A/Prof Patrick Burr, with no direct reports.

• Salary (Level A) – AUD $110,059 to $117,718 + 17% superannuation
• Full-time, fixed-term (2 years)
• Location: Kensington, Sydney

About UNSW

UNSW is a diverse, innovative university committed to impactful research and education. Our School of Mechanical and Manufacturing Engineering is ranked highly globally, with strengths in Aerospace, Mechanical Engineering, and more. Visit https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering

The UNSW Nuclear Innovation Centre, launched in February 2024, advances Australia’s nuclear science industry through interdisciplinary collaborations in medicine, materials, waste management, space, and mining. More info at https://www.unsw.edu.au/research/nuclear-innovation-centre

Skills & Experience

• PhD or relevant experience in related disciplines
• Proficiency in scientific programming languages (Python, Matlab, C, shell script)
• Experience with atomic-scale simulations (DFT, MD)
• Knowledge of inter-atomic potential development (classical/ML)
• Strong research track record, independent working ability
• Publication and conference presentation history
• Supervision or mentoring experience (desirable)
• Excellent interpersonal and teamwork skills
• Understanding of UNSW’s values and policies
• Commitment to health and safety practices

Additional details are available in the position description via JOBS@UNSW.

To Apply: Submit your CV, Cover Letter, and responses to the Skills & Experience criteria through the application portal. Address the skills listed in the position description.

Applications sent to other contacts will not be considered.

Application Deadline: 11:55 pm (Sydney time), Monday 11 August 2025

UNSW promotes diversity and inclusion and encourages applications from all backgrounds, including Indigenous Australians, people with disabilities, and those with caring responsibilities. Workplace adjustments and flexible work options are available.

Additional Information

Level: Internship, Full-time, Research

Ref: J-18808-Ljbffr