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Postdoctoral Fellow

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Queensland University of Technology

Brisbane City QLD, Australia

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Postdoctoral Fellow

Postdoctoral Fellow

31 May 2026

Location

Gardens Point, Brisbane City QLD, Australia

Queensland University of Technology (QUT)

Type

Fixed-term full-time (2 years)

Salary

AUD$96,342 to AUD$163,427 pa (LEVA/LEVB, incl. super & leave loading)

Required Qualifications

PhD in Electrical/Computer Systems Engineering
Proficiency in PyTorch/TensorFlow
Strong Python programming skills
Power system harmonics experience (advantage)
Publication track record in journals/conferences
Collaboration with industry partners

Research Areas

Power Quality Analysis
Machine Learning
Time-series Modelling
Graph Neural Networks
Anomaly Detection
Physics-informed Neural Networks
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Postdoctoral Fellow

Postdoctoral Fellow

  • Reference number: 26169
  • Term: Fixed-term, full-time basis for two (2) years
  • Remuneration: AUD$96,342 to AUD$130,727 pa (LEVA) (inclusive of AUD$81,410 to AUD$110,466 salary pa, 17% superannuation and 17.5% recreation leave loading) OR AUD$137,608 to AUD$163,427 pa (LEVB) (inclusive of AUD$116,280 to AUD$138,097 salary pa, 17% superannuation and 17.5% recreation leave loading)
  • Location: Gardens Point

Who are we looking for?

We are seeking a Postdoctoral Fellow to join School of Electrical Engineering and Robotics, Faculty of Engineering.

The Postdoctoral Fellow will play a crucial role in the collaborative project between Queensland University of Technology (QUT) other universities and industry partners, focusing on Power Quality Analysis and Modelling using advanced machine learning and data-driven approaches. This project is part of the ARC Training Centre in Electrifying Australia for a Net-zero Future. The objective of this project is to utilise large-scale power quality data (voltage and current harmonics) from complex, time-varying distribution networks with grid connected inverters, and predict the system behaviour under different operating conditions. This role offers the opportunity to work at the intersection of electrical power systems and cutting-edge machine learning techniques, applying and developing methods such as time-series modelling, dynamic behaviour prediction, graph neural networks for topology modelling, anomaly detection, and physics-informed neural networks to address critical challenges in power system reliability, stability, and performance.

About us

QUT is a major Australian university with a global outlook and a 'real world' focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world.

The School of Electrical Engineering and Robotics plays a significant role in almost every aspect of a modern lifestyle, supplying the energy and intelligence for the technology that helps us to manage and understand the world around us. We work to ensure safe, affordable and environmentally responsible supply and consumption of electricity. We make sense of the world’s data streaming in from cameras, devices, and sensors. Our expertise in Power Engineering, Renewable Energy Systems, Robotics, AI/Machine Learning, Computer Vision and Signal Processing allows us to develop systems to automatically interpret the world, its people and their activities from diverse visual and audio sources. We create cutting edge robotic systems that interact with the real world, operating autonomously in our natural and built environments to benefit industries such as power, health, transport, manufacturing, mining and agriculture. We are committed to the education of Electrical Engineers both as undergraduates and postgraduates, and work with partner Schools to deliver leading edge Renewable Power, AI/Robotics, Mechatronic, Software and Aerospace Engineering education.

What you need to succeed

  1. Completion of a PhD in a relevant discipline preferably in Electrical or Computer Systems Engineering with strong machine learning background.
  2. Proficiency in machine learning frameworks such as PyTorch or TensorFlow, with strong Python programming skills.
  3. Experience in power system harmonics and power quality is an advantage.
  4. Demonstrated written communication skills, including the ability to maintain accurate records, with a demonstrated track record in publishing in high-quality conferences and journals, and experience in summarising scientific data in reports.
  5. Demonstrated ability and motivation to engage and actively collaborate with a industry partners and scientific organisations or individuals.
  6. Demonstrated ethical standards in research confidentiality including an ability to protect intellectual property.
  7. Demonstrated commitment to equity, diversity and Indigenous Australian engagement.

Life at QUT

We're committed to building a culture that fosters connection between people and purpose. Beyond personal and professional fulfillment, a career at QUT offers:

  • A healthy work-life balance with a blend of on-campus and off-campus work arrangements for applicable positions. 
  • Competitive remuneration with up to 17% superannuation and leave loading of 17.5%. 
  • Generous parental leave including primary carer parental leave of up to 26 weeks (including 17% super). 
  • Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance. 
  • Purchased Leave Scheme - up to 8 extra weeks. 
  • Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms. 
  • Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme.
  • Commitment to our Indigenous Australian staff  through initiatives such as the Indigenous Australian Staff Network, Cultural and Ceremonial Leave, Staff Development Workshops, and representation on university committees. 

Explore more benefits of life at QUT.

Belong at QUT 

We are guided by our values of Ambition, Integrity, Inclusiveness, Innovation, and Academic Freedom and our QUT Connections in our mission to inspire and shape the next generation of change-makers. 

As part of our commitment to fostering an inclusive workplace, we proudly support our Indigenous Australians Employment Strategy, aiming for an Indigenous Australian workforce participation of 3.6%. We extend a warm invitation to Aboriginal Australians and Torres Strait Islander people to join us in pursuing a rewarding career at QUT.

We believe that diversity is our strength and are dedicated to creating safe, inclusive spaces where everyone can thrive. We strongly encourage individuals from diverse cultures, ages, linguistic backgrounds, sexual orientations, and gender identities, and those who are living with disabilities to apply for positions at QUT.

At QUT, diversity is not just embraced—it's celebrated. See our commitment

How to Apply

Discover the possibilities that await with a career at QUT. If you're ready to embark on a journey of innovation and opportunity, we're excited to meet you.

Find out more about this position and submit your application by clicking 'Apply' or the link below.

View the job details at: https://qut.nga.net.au/cp/index.cfm?event=jobs.checkJobDetailsNewApplication&returnToEvent=jobs.listJobs&jobid=24EB8BD8-922A-2C31-2A17-ECC422BCF7E8&CurATC=EXT&CurBID=1877E01E%2D78DD%2D4ED2%2D9D7A%2D9DB40135CFF4&JobListID=22fc4f47%2De994%2D46a3%2Db8c9%2D9bc901269f43&jobsListKey=ed723461%2D3c8a%2D49b3%2D98dc%2D1273e95c5942&persistVariables=CurATC,CurBID,JobListID,jobsListKey,JobID&lid=46116700266&rmuh=417750DC64692F9FF76E3B4EAD977F5AADD8CA49

Job opens: 27-Apr-2026

Applications Close: 31-May-2026 at 11.30pm

View Position Description

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Frequently Asked Questions

🎓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.

💰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.

🔬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.

📝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.

🏥What benefits does QUT offer for this Postdoctoral Fellow position?

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.

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.
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