• School of Electrical Engineering and Computer Science
• Full-time (100%), fixed-term position for up to 3 years
• Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A)
• Based at our St Lucia Campus

About This Opportunity

The Postdoctoral Research Fellow/Research Officer will contribute to innovative research developments within the scope of the ARC Discovery Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave engineering problems in a timely manner. The primary bottleneck so far preventing that approach is the disparity between trained theoretical models and reality. This will be overcome through the development of domain adaptation or domain generalization techniques. This project will yield significant economic and societal benefits, including supporting the efficient design, installation, and operation of medical imaging systems, communication systems, mining operations, and infrastructure inspections.

Key responsibilities will include:

• Research: Develop processing methods for electromagnetic medical imaging using microwave techniques and anomaly detection, create large electromagnetic signal datasets via simulation, lab, and real-world experiments, design and test clutter removal techniques, build physics-guided, data-driven imaging algorithms using AI, evaluate algorithm performance through modeling and simulation, establish a research program, collaborate on research projects, seek and manage research funding, publishing or exhibiting in high-quality outlets, utilize best practice research methodologies, and participate in project discussions.

• Supervision and Researcher Development: Supervise Honours and Higher Degree by Research students, effectively supervise and support researcher development, manage research support staff in line with University policies throughout the employee lifecycle, provide performance feedback and training and resolve conflicts.

• Citizenship and Service: Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values.

This is a research-focused position. Further information can be found by viewing UQ's Criteria for Academic Performance.

About UQ

As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.

At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.

As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process.

About You

• Completion or near completion of a PhD in Computer Science, Electrical Engineering, or Biomedical Engineering.
• An emerging profile in research in the discipline area.
• Evidence of publications in reputed refereed journals and presenting at conferences.
• Evidence of contributions towards successfully obtaining external research funding.
• Some experience in meaningful internal service roles and contributions towards external activities
• Demonstrated expert knowledge in machine learning, AI, and bio-signal processing
• Experience in conducting research projects, with demonstrated high-level written and oral communication skills
• A basic knowledge of applied electromagnetics, particularly in electromagnetic imaging
• Evidence of publication of research findings in top international peer-reviewed journals and conferences relevant to the scope of the project (including electromagnetic, imaging, or machine learning venues)
• Ability to work effectively both independently and as a member of a team

The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, criminal check, education check.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package. You can find out more about life in Australia's Sunshine State here.

Questions?

For more information about this opportunity, please contact Professor Amin Abbosh [email protected]. For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line.

Want to Apply?

We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:

• Resume
• Cover letter
• Responses to the 'About You' section

Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact [email protected].

Other Information

UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don't meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.

Applications close Friday 8 August 2025 at 11.00pm AEST (R-53660). Please note that interviews have been tentatively scheduled for the week commencing Monday 11 August 2025.