PhD Opportunity – Position has been filled applications have closed!

ARC Industrial Transformation Research Hub for Future Digital Manufacturing PhD Scholarship

Data-Driven Optimisation for Next-Generation Digital Manufacturing Systems

Program
PhD
Location
St Lucia
Research area
Information and computing sciences

Project description

This research will involve:

  • Developing advanced data analytics methodologies to support real-time monitoring and control in digital manufacturing processes.
  • Leveraging large-scale production data to model, analyse, and optimise key operational parameters, improving consistency, precision, and cost-efficiency across workflows.

By enabling data-informed decision-making throughout the manufacturing lifecycle, this project aims to enhance production reliability, reduce downtime, and improve overall resource efficiency. The outcomes have strong potential for commercial application, supporting more sustainable, adaptive, and economically viable manufacturing systems.

Research environment

This project is part of the prestigious ARC Industrial Transformation Research Hub for Future Digital Manufacturing, a national collaboration between seven leading Australian universities and ten industry partners. Together, the Hub is driving innovation to tackle real-world manufacturing challenges and strengthen Australia’s global competitiveness.

As a PhD researcher, you will work with cutting-edge facilities at UQ’s School of Mechanical and Mining Engineering (SoMME) and School of Electrical Engineering and Computer Science (SEECS), both known for their world-class research in advanced manufacturing and computational technologies. You’ll collaborate with experienced, supportive research teams and benefit from a vibrant academic community through regular seminars, research showcases, and events like the AMPAM seminar series and the annual EAIT Postgraduate Conference, providing valuable opportunities to share your work and build your professional network.

Scholarship

This project is supported by the Research project scholarship.

This scholarship includes:

  • living stipend of $36,400 per annum tax free (2025 rate), indexed annually for three years
  • tuition fees covered.

Learn more about the Research project scholarship.

Supervisor

Associate supervisor

Dr Mingyuan Lu

School of Mechanical and Mining Engineering

View Dr Mingyuan Lu’s profile

Preferred educational background

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 PyTorch, ROS and data analytics tools would be of benefit to someone working on this project.

A background or knowledge of visual analytics is highly desirable.

How to apply and further information

This position has now closed!

To register your interest in future PhD scholarship opportunities, contact Faye Zaibak on: DigitalManufacturing@swin.edu.au