Postdoc: AI-Driven RF Fingerprinting & Signal Processing

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

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