* Part-time 0.5FTE, 2 years fixed term opportunity, Located on the Darlington Campus at the School of Aerospace, Mechanical and Mechatronic Engineering (AMME)
* Work in a highly collaborative, international, and interdisciplinary research team
* Base Salary, Academic Level A offering a base salary of $109,263 - $121,054 p.a. pro rata + 17% superannuation
About the opportunity
The School of Aerospace Mechanical and Mechatronic Engineering (AMME) is one of Australia's leading research and teaching Engineering Schools, with degree programs in Mechanical, Mechatronic, Aeronautical and Space Engineering. The school has a student body of over 1,000 students and has seen strong growth in demand for teaching at the undergraduate and postgraduate levels. The school supports teaching and research activities across disciplines including aerospace, combustion, design, fluid mechanics, materials, mechanical, mechatronic and robotics engineering.
We are currently seeking a Postdoctoral Research Associate in Computational Modelling and Design Optimisation to work closely within a multi‐institutional team comprising HDR and Honours students, as well as external collaborators across multiple countries. The position offers a highly collaborative and interdisciplinary research environment.
Responsibilities
* develop computational algorithms for time‐dependent structural optimisation with transient simulations
* undertake prototyping and characterisation of novel designs
* conduct experimental testing to validate computational models and design concepts
* prepare high‐quality manuscripts and technical reports
* disseminate research outcomes through publications and presentations.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Computational Optimisation whose expertise and approach align with these values. The successful candidate will have:
* a PhD in Mechanical Engineering, Computational Engineering, or a closely related discipline
* a strong background in computational modelling of time‐dependent problems, with demonstrated experience in transient simulation
* a solid foundation in solid and/or fluid mechanics, as well as algorithmic develop and computational optimisation
* practical experience in additive manufacturing and experimental characterisation
* an understanding of AI‐informed simulation and design optimisation.
Sponsorship / work rights for Australia
You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment.
Pre-employment checks
Your employment is conditional upon the completion of all role required pre‐employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.
EEO statement
At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds.
We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion.
How to apply
Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.
For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.
For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Cherie Goodwin or Rebecca Astar, Recruitment Operations, Human Resources on recruitment.sea@sydney.edu.au.
Applications Close
Friday 01 May 2026 11:59 PM
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