Postdoctoral Research Associate - Radio Frequency Fingerprinting using Machine Learning

Unist; Sydney; Hybrid; AUD 93,000 - 126,000; Full time

Job summary

The School of Electrical and Computer Engineering at the University of Sydney invites applications for a Postdoctoral Research Associate to advance research in RF fingerprinting using machine learning. You will join a team of researchers, access state-of-the-art equipment, and contribute to a project with industry partners and international collaborators.

The role focuses on robust RF fingerprinting through ML techniques, requiring strong signal processing or ML expertise, Python and PyTorch

Qualifications

• PhD (or near completion) in signal processing, machine learning or related field.
• Experience developing ML models using Python and PyTorch.
• Strong track record in conducting research and publishing.

Responsibilities

• 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.

Skills

Signal processing

Machine learning

Python

PyTorch

Explainable AI

Education

PhD (or near completion) in signal processing or ML

Tools

Python

PyTorch

Job description

Organisation/Company UNIVERSITY OF SYDNEY Research Field Computer science Researcher Profile Leading Researcher (R4) Application Deadline 26 Sep 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

• 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.

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.

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 [e-mail]

The University reserves the right not to proceed with any appointment.