Robot Learning from Demonstration in Welding

School of Engineering, Design and Built Environment

Lead Researcher: Professor Gu Fang

About the project

The Robotics, Vision and Signal Processing research group, in the School of Engineering, Design and Built Environment (EDBE) is focused on use computer vision in robotic applications. In particular, much work has been done in using computer vision to identify the welding seam and guide the robot during the welding process.

We are now offering a research scholarship to a highly motivated PhD candidate to work within the research group to use computer vision in identifying the location and the shape of the welding task that is to be performed in unconstructed settings, such as in a construction site. The project will be using a number of vision sensors (including RGB-D sensors) to observe the human instruction and work out the locations of the welding joints in the work pieces.

The project will be based at EDBE with the opportunity to work with the UK-based supervisor, Professor Farshid Amirabdollahian, University of Hertfordshire,(opens in a new window)  on novel image based human robot interaction methods and to expand this into the industrial settings.

What does the scholarship provide?

  • Domestic candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs, supported by the Research Training Program (RTP) Fee Offset.
  • International candidates will receive a tax-free stipend of $30,000(AUD) per annum for up to 3 years to support living costs. Those with a strong track record will be eligible for a tuition fee waiver.
  • Support for conference attendance, fieldwork and additional costs as approved by the School.

International candidates are required to hold an Overseas Student Health Care (OSHC)(opens in a new window) insurance policy for the duration their study in Australia. This cost is not covered by the scholarship.

Eligibility criteria

We welcome applicants from a range of backgrounds, who are keen to apply their skills to key areas in computer vision and artificial intelligence. In particular, the project is suitable for candidates with strong interests in robotic welding, computer vision, and artificial intelligence.

The successful applicant should:

  • hold qualifications and experience equal to one of the following (i) an Australian First Class Bachelor (Honours) degree, (ii) coursework Masters with at least 25% research component, (iii) a Research Masters degree, or (iv) equivalent overseas qualifications.
  • demonstrate strong academic performance in subjects relevant to robotics, computer vision, and artificial intelligence.
  • be willing to learn analytical techniques applicable to robotic welding, and human-robot interaction.
  • be enthusiastic and highly motivated to undertake further study at an advanced level.

You must be onshore in Australia and ready to commence the scholarship on 04 April 2022. You can only defer from this date with written approval from the Graduate Research School.

International applicants must demonstrate English language proficiency.(opens in a new window)

How to apply

Follow the step-by-step instructions on the how to apply for a project scholarship(opens in a new window) page.

  • Note: You do not need to complete 'Step 5: Submit an online application for admission' when applying for this scholarship. You must complete 'Step 6: Submit an online application for a project scholarship'.

Incomplete applications or applications that do not conform to the above requirements will not be considered.

For questions and advice about the research project, please contact the Lead Researcher;
Professor Gu Fang:

For questions and advice about the application process, please contact the Graduate Research School:

Applications close 28 February 2022

*Applications close at 11.59pm Australian Eastern Daylight Time (AEDT).

Scholarship reference code: PS_071_SoEDBE