Full time, fixed term for 12 months
Opportunity to advance research in AI Hardware Acceleration
Base Salary $93,424 - $125,896 + 17% superannuation

About the opportunity

The School of Electrical and Computer Engineering at the University of Sydney is seeking to appoint a Postdoctoral Research Associate to contribute to an exciting project focused on the challenge of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You will join a team of researchers that are pushing the boundaries on this topic. You will have access to our state-of-the-art equipment and facilities and connect with leading researchers worldwide.

Your key responsibilities will be to:

deliver outcomes in a research project and ensure that milestones are met
work with colleagues and postgraduates within the project
prepare materials for publications in journals and conferences
collaborate with industry partners and leaders in the field of radio frequency fingerprinting.

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 Researcher in Radio Frequency Fingerprinting using Machine Learning who has:

strong experience in signal processing, machine learning or a related field
a PhD (or near completion) in signal processing, machine learning or a related field
experience in the development of machine learning models using Python and pytorch
expertise in two or more of the following technical areas: implementation of signal processing systems, data collection for machine learning, wireless physical layer, radio electronics, explainable AI
strong problem solving and analytical skills.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Work Rights

You must have unrestricted work rights in Australia for the duration of this employment 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 include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community that reflects the wider community that we serve. We deliver on this commitment through 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 LGBTIQ. We welcome applications from candidates from all backgrounds.

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 Rebecca Astar or Cherie Goodwin, Recruitment Operations by email to recruitment.sea@sydney.edu.au

Click to view the Position Description for this role.

Applications Close

Saturday 26 September 2026 11:59 PM

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Postdoctoral Research Associate - Radio Frequency Fingerprinting using Machine Learning