Q: What qualifications are required for this Postdoctoral Fellow role at QUT?

To succeed, candidates need a PhD in Electrical or Computer Systems Engineering with a strong machine learning background, proficiency in PyTorch or TensorFlow , and Python programming skills . Experience in power system harmonics and power quality is advantageous. A track record in high-quality publications and collaboration is essential. Learn more about postdoctoral success and QUT postdoc opportunities .

Q: What is the salary and employment term for this QUT Postdoctoral position?

The role offers AUD$96,342 to AUD$130,727 pa (LEVA) or AUD$137,608 to AUD$163,427 pa (LEVB) , inclusive of salary, 17% superannuation, and 17.5% leave loading. It is a fixed-term full-time position for 2 years at Gardens Point campus. Explore university salaries in Australia for context.

Q: What research will the Postdoctoral Fellow conduct at QUT?

Focus on Power Quality Analysis and Modelling using machine learning and data-driven methods in the ARC Training Centre for Net-zero Future. Key areas include time-series modelling , graph neural networks , anomaly detection , and physics-informed neural networks for power systems with inverters. See related research jobs .

Q: How to apply for this Machine Learning Postdoc at QUT Brisbane?

Applications open 27 April 2026 and close 31 May 2026 at 11:30pm . Click 'Apply' on the QUT portal, log in or create an account, and submit via the link in the job post. Preview the form first. Reference: 26169. Tips for academic applications in Australia.

Q: Does this role require teaching or offer visa sponsorship?

No teaching load mentioned; focus is research. Visa sponsorship not specified. Strong emphasis on collaboration, ethics, and IP protection. Check faculty roles for similar positions.

Question 1

What qualifications are required for this Postdoctoral Fellow role at QUT?

Accepted Answer

To succeed, candidates need a PhD in Electrical or Computer Systems Engineering with a strong machine learning background, proficiency in PyTorch or TensorFlow, and Python programming skills. Experience in power system harmonics and power quality is advantageous. A track record in high-quality publications and collaboration is essential. Learn more about postdoctoral success and QUT postdoc opportunities.

Question 2

What is the salary and employment term for this QUT Postdoctoral position?

Accepted Answer

The role offers AUD$96,342 to AUD$130,727 pa (LEVA) or AUD$137,608 to AUD$163,427 pa (LEVB), inclusive of salary, 17% superannuation, and 17.5% leave loading. It is a fixed-term full-time position for 2 years at Gardens Point campus. Explore university salaries in Australia for context.

Question 3

What research will the Postdoctoral Fellow conduct at QUT?

Accepted Answer

Focus on Power Quality Analysis and Modelling using machine learning and data-driven methods in the ARC Training Centre for Net-zero Future. Key areas include time-series modelling, graph neural networks, anomaly detection, and physics-informed neural networks for power systems with inverters. See related research jobs.

Question 4

How to apply for this Machine Learning Postdoc at QUT Brisbane?

Accepted Answer

Applications open 27 April 2026 and close 31 May 2026 at 11:30pm. Click 'Apply' on the QUT portal, log in or create an account, and submit via the link in the job post. Preview the form first. Reference: 26169. Tips for academic applications in Australia.

Question 5

What benefits does QUT offer for this Postdoctoral Fellow position?

Accepted Answer

Enjoy competitive remuneration, up to 17% super, 17.5% leave loading, generous parental leave (26 weeks), fitness passport, salary packaging, professional development, and work-life balance options. QUT emphasizes equity, diversity, and Indigenous engagement. Discover life at QUT.

Question 6

Does this role require teaching or offer visa sponsorship?

Accepted Answer

No teaching load mentioned; focus is research. Visa sponsorship not specified. Strong emphasis on collaboration, ethics, and IP protection. Check faculty roles for similar positions.

Postdoctoral Fellow

Queensland University of Technology

Brisbane City QLD, Australia

Welcome to AcademicConnect!

Postdoctoral Fellow

Lecturer

Lecturer - Electrical Engineering (Power Systems)

Lecturer (Level B) or Senior Lecturer (Level C) in Electrical & Electronic Engineering (Power Electronics)