About the Job
The Department of Mathematics is seeking an enthusiastic Postdoctoral Research Fellow to make a significant contribution to an ARC Discovery Project on the Molecular Design of Complex Lubricants to Reduce Friction. This project is a collaboration with both PhD students and researchers at RMIT University and at Imperial College London.
In this role, you will play a key role in implementing new molecular dynamics algorithms to predict the friction of realistic contacts under mechanical operating conditions of high strain rates, temperatures and pressures. Your work will have a direct impact in developing and implementing nonequilibrium molecular dynamics algorithms and generating results. As the Postdoctoral Research Fellow, you will investigate potential new lubricants that significantly reduce frictional dissipation and greenhouse gas emissions.
About Swinburne University of Technology
Swinburne is a multi-sector university of science, technology and innovation with more than 54,000 students and 5,000 staff globally. We offer postgraduate, undergraduate, vocational education and online education to provide students with a variety of work-relevant pathways. Our mission is to be a world-class university, creating economic and social impact through science, technology and innovation. We aim to deliver future-ready learners, research with impact and innovative enterprise.
Swinburne’s Faculty of Science, Engineering and Technology is at the forefront of the university’s focus on developing innovative solutions to real-life problems. If you’re interested in working on today’s most exciting challenges, collaborating with leaders in their discipline and being supported by some of the best technology and facilities in the country, then you should be at Swinburne.
About you
To be successful in the role, you will have:
- A doctoral degree in Physics, Theoretical or Physical Chemistry, Mechanical/Chemical Engineering, Applied Mathematics or a relevant field
- Experience in molecular dynamics simulation, molecular modelling, computational science using complex computer science techniques in analysis
- Proficiency or ability to become proficient quickly in C/C++ programming languages
- Expertise, or the ability to rapidly gain expertise, in the LAMMPS software package
- Knowledge of statistical mechanics, tribology, rheology and fluid mechanics
A full list of selection criteria is available within the position description.
Benefits
- Onsite health services
- Private health insurance discounts
- Weekly yoga and Pilates classes
- Discounted annual Myki cards are available to Swinburne staff
To find out more about the extensive range of benefits offered to Swinburne employees please visit
Employee BenefitsHow to apply and further information
Please submit your application by clicking on the ‘Apply’ link, and submit a resume, cover letter and a response to the Key Selection Criteria, as listed in the position description. For further information about this position, contact Professor Billy Todd on +613 9214 8740 or via email at
btodd@swin.edu.auIf you are experiencing technical difficulties with your application, please contact the Recruitment team on
staffrecruitment@swin.edu.auShould you require further support for an interview due to special needs or consideration, please contact Jessie Macintyre, Director (Employee Experience) at
inclusion@swin.edu.au. For support or queries related to Aboriginal and Torres Strait Islander employment, please contact
DeadlyCareers@swin.edu.auAgency enquiries will not be accepted for this position.
Swinburne is a large and culturally diverse organisation. We are proud of our commitment to equity and inclusion through key initiatives such as our Charter of Cultural Diversity, Pride@Swinburne Strategic Action Plan, Science in Australia Gender Equity (SAGE) Action Plan and our Reconciliation Action Plan. Equity and diversity are integral to our 2025 vision to be a world class university creating social and economic impact through science, technology and innovation.
Applications close at 5pm on 30 June 2020
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