CSIRO Industry PhD Scholarship Training Humanoid Robots for High-Risk Applications using Large and Small AI Models

We are currently looking for a PhD candidate to develop trustworthy artificial intelligence for humanoid robots operating in hazardous environments. The primary focus of this role is to integrate computer vision large and small AI models formal reasoning reinforcement learning and robot control so that humanoid robots can interpret mission goals plan safe actions and perform complex manipulation tasks. This CSIRO Industry PhD project includes hands-on research using robotic platforms multimodal sensors simulation environments and industry-relevant scenarios in explosive ordnance disposal mining and construction. Success in this role requires close collaboration with researchers and engineers from Griffith University CSIRO and Cyborg Dynamics Engineering.

This position is based primarily at Griffith Universitys Brisbane South (Nathan) campus for three days per week with the remaining two days spent at our industry partner Cyborg Dynamics. As Griffith is a multi-campus University you may be required to work across other campus locations. Griffith Universitys sites are located on the lands of the Yugarabul Yuggera Jagera Turrbal Yugambeh and Kombumerri peoples.

Qualifications :

The selection of applicants for higher degree research scholarships at Griffith University considers academic merit and research experience. To succeed in this role you will have a strong background in artificial intelligence computer science robotics machine learning or a related field together with proficiency in Python and modern machine learning frameworks. You will demonstrate a passion for robotics and trustworthy AI strong problem-solving and communication skills and a desire to undertake industry-engaged research in computer vision reinforcement learning embodied intelligence and autonomous systems.

• Expressions of interest are welcome from Australian or New Zealand citizens or Australian permanent residents ONLY.
• Applicants must have completed a Bachelors degree with honours equivalent to first-class honours or a Masters degree (AQF Level 9) incorporating a significant research component of a standard comparable to a Bachelor honours degree or be regarded by Griffith University as having an equivalent level of attainment in accordance with Schedule One of the HDR Scholarship Policy. For further information on the eligibility requirements for the program refer here.
• Applicants should have an academic background in robotics and AI.

Additional Information :

About the scholarship
This scholarship offers a generous stipend of $48071 per annum (indexed) for four years based on the 2026 rate plus additional funding for project expenses and professional development starting from $13000 per year (indexed).

What Griffith offers
As a scholarship holder you will study with a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University weve worked hard to create a culture that will challenge you to be curious creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. Griffiths strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science Technology Engineering Mathematics and Medicine (STEMM).

EOI Process
Please do not select the APPLY button. All expressions of interest must be submitted to  containing:

• Statement addressing your suitability for the project/scholarship
• Brief research proposal maximum 2 pages
• Evidence that you have completed a program with the required grades as detailed in the About you section
• A curriculum vitae (CV)
• Names and contact details of two referees

Closing date for expressions of interest is: Friday 24 July 2026 at 5pm AEST.

The preferred applicant will then be invited to apply for the program and scholarship on-line

For project related enquiries please contact:
Dr Zhe Hou
Email: 

For administration enquiries please contact:
The PhD Partnerships Team
Email: 

Remote Work :

No

Employment Type :

Full-time