Real-time AI-integrated three-dimensional medical electromagnetic imaging

This project will develop an AI-enabled, real-time three-dimensional electromagnetic imaging platform integrated with microwave hyperthermia for precision cancer diagnosis and treatment.

The project will combine electromagnetic sensing, physics-guided AI for signal processing and image reconstruction, and targeted thermal therapy to enable tumour detection, localisation, treatment guidance, and monitoring.

You will work on electromagnetic imaging using physics-guided deep learning, phantom-based experimental validation, and hyperthermia system integration.

The project is suitable for candidates with backgrounds in electrical engineering, electromagnetic imaging, or artificial intelligence applied to electromagnetic systems.

You will be located in the School of EECS, with a world-class intellectual research environment in the discipline of electromagnetic imaging and microwave engineering research.

You will work in a dynamic research group dedicated to applied electromagnetics and engineering artificial intelligence, with applications in physics-guided deep learning applied in electromagnetic medical imaging, sensing, and microwave system design.

You will benefit from access to state-of-the-art facilities, including multi-port vector network analysers, dielectric probe kits for dielectric characterisation, and a fully automated scanning system.

You will also have access to UQ's High Computing resources, such as Bunya clusters, equipped with powerful GPUs such as NVIDIA's H100. 

This project is supported by the Research project scholarship.

Learn more about the Research project scholarship.

Your application will be assessed on a competitive basis.

We take into account your:

• previous academic record
• publication record
• honours and awards
• employment history.

A working knowledge of applied electromagnetics and machine learning would be of benefit to someone working on this project.

You will demonstrate academic achievement in the field(s) of  and theapplied electromagnetics and machine learning potential for scholastic success.

A background or knowledge of computational electromagnetcis, microwave engineering, and/or deep learning is highly desirable.

You must submit an expression of interest (EOI) by 20 July, 2026 20 July, 2026.

Before you apply

1. Check your eligibility for the Doctor of Philosophy (PhD).
2. Prepare your documentation.
3. If you have any questions about whether the project is suitable for your research interests, contact Professor Amin Abbosh (a.abbosh@uq.edu.au).

When you apply

To apply, submit an expression of interest (EOI) for the program. You don't need to apply separately for the project or scholarship. How to submit an EOI

In your EOI, complete the ‘Scholarship/Sponsorship’ section with the following details:

1. Are you applying for an advertised project: 'Yes'
2. Project: 'Research project scholarship'
3. Scholarship Code Listed in the Advertisement: ELECTROMAGNETIC-ABBOSH
4. Link to Scholarship Advertisement: https://study.uq.edu.au/study-options/phd-mphil-professional-doctorate/projects/real-time-ai-integrated-three-dimensional-medical-electromagnetic-imaging

Submit an EOI