Research Fellow (superconductivity /machine Learning)

• $74,291 to $100,806
• Fixed-term, full-time
• Gardens Point

Who are we looking for?

Queensland University of Technology (QUT) is seeking a Research Fellow (Superconductivity /Machine Learning) to join School of Electrical Engineering and Robotics, Faculty of Engineering, Academic Division.

We are seeking a Research Fellow to conduct research into advanced techniques that explore how machine learning methods, including traditional non-deep learning methods, unsupervised deep learning, physics-informed deep learning models, and transfer learning/domain adaptation, can be applied to superconductor applications. The Research Fellow will contribute to the research agenda of the Faculty of Engineering through undertaking research connected to existing defence projects at the nexus of superconductor research and machine learning, and related funding.

Real world impact

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

You will also be an active researcher with an exciting and developing research profile that strives to create impact and change and contributes to cutting edge knowledge.  

You will demonstrate:

1. Completion of a PhD in a relevant discipline preferably in Artificial Intelligence (AI), Machine Learning (ML), Computer Vision (CV) or Signal Processing. 
2. Experience and research track record in Machine Learning, with experience in one or more of unsupervised deep learning, physics-informed deep learning, or transfer learning/domain adaptation. 
3. Demonstrated ability to undertake high-quality research via publication in top tier conferences/journals in AI, CV, ML. 
4. Demonstrated written communication skills, including the ability to maintain accurate records, and experience in summarising scientific data in reports. 
5. Demonstrated experience in all aspects of the research process, including ethical standards in research confidentiality and an ability to protect intellectual property. 

Careers at QUT

Our culture is vibrant, inspiring and challenging. It’s a world where like-minds come together with a commitment to making a real world difference, no matter what the area of expertise.

Beyond personal and professional fulfilment, a career at QUT brings a broad range of tangible benefits. QUT is a high quality and flexible organisation that is proud of its excellent employment conditions which include but are not limited to:

• Parental leave provisions
• Study support encompassing leave and financial assistance
• Comprehensive professional development
• Salary Packaging

 

Reference number:  23250

Term:  fixed-term, full-time basis until 31 December, 2024

Remuneration:  AUD$87,917 to AUD$119,296 pa (LEVA). Which is inclusive of an annual salary range of AUD$74,291 to AUD$100,806 pa, 17% superannuation and leave loading.

Location:  Gardens Point

Job opens:  14-Mar-2023

Applications Close:  12-Apr-2023 at 11.30pm

Open to:

At QUT, our values reflect what we believe in, and what is important to us as an organisation. They capture our strengths, our distinctiveness and sit alongside the priorities outlined in our QUT Connections, and guide our decisions and actions.

QUT aims to inspire and shape the future with talented students and staff from , united by our core values of Ambition, Curiosity, Integrity, Inclusiveness,  Innovation and Academic freedom.