Seeing Machines ANU PhD Fellowship


Welcome to the Seeing Machines ANU PhD Fellowship Program.

2022 marks the inaugural year for this program and we are delighted to be partnering with the Australian National University to enhance our industry leading vision-based monitoring technology.

With a deep history in Research and Development (R&D), Seeing Machines continues to innovate. We are partnering with ANU to accelerate research that will feed into the commercialisation of our life-saving technology.

We were founded at the ANU and have continued our association with the academic community in Australia and around the world. Our team has collaborated on a range of projects with leading universities and these relations remain a top priority for Seeing Machines.

Please visit the Seeing Machines website to learn more about Seeing Machines.

Seeing Machines, together with ANU, invites submissions from students with a keen interest in artificial intelligence, computer vision algorithms and automated driving.

Field of study

Computer Science


These scholarships are available to potential students who:

  • are domestic or international students; and
  • have applied for admission to a PhD program offered by the School of Computing, ANU College of Engineering and Computer Science.
  • have a Bachelor degree with first-class honours or a Master degree with a research component or equivalent from a recognised university.


Fellowship Breakdown:

  • PhD Stipend A$28,597 per annum
  • Top-Up Scholarship A$10,000 per annum
  • Travel Allowance A$15,000 for the duration of the PhD.

How to apply

No application is required specifically for this scholarship as all eligible candidates will be considered.

Further information

At Seeing Machines, technology leadership is paramount to our commercial operations. We have a leading team of Algorithm Scientists who take research and develop it into fully implemented and working commercial solutions.

The Seeing Machines - ANU PhD Fellowship Program is seeking two students to contribute to the development of algorithms to measure and characterize driver awareness, activities and interactions with other vehicle occupants using internally mounted multi-model sensors.

In particular, we are looking for students to address the following challenges:

  • Deep Learning for Anomaly Detection.
  • Deep Learning for Image Super-Resolution.
  • Neural Architecture Search including Low-precision Quantisation Aware Training.

These outcomes will contribute to worldwide traffic safety regulations and deliver state-of-the-art technology to improve safety and convenience for the cars of the future!

THE PROGRAM - Doctor of Philosophy, College of Engineering and Computer Science, ANU

The program will run for 3.5 years, where our PhD students will work with cutting-edge deep learning methods and state-of-the-art multi-model sensors.


Prof Stephen Gould, ANU
Dr Liang Zheng, ANU
Dr Akshay Asthana, Seeing Machines

For more information, and to apply, please visit the Doctor of Philosophy, ANU College of Engineering and Computer Science (Programs and Corses) webpage.