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University of Adelaide

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Industry PhD in Explainable AI Agents for Autonomous Driving Adelaide University in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Industry PhD opportunity with a stipend of $53,815 per annum for 4 years plus a tuition fee waiver. Includes industry embedment with Motovis Australia.

Deadline

Sep 25, 2026

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Country

Australia

University

University of Adelaide

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Keywords

Computer Science
Artificial Intelligence
Python Programming
Explainable Ai
Robotics
Continual Learning
Autonomous Vehicle
ML

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About this position

Adelaide University Graduate Research School is advertising a National Industry PhD Opportunity in Explainable AI for autonomous driving. The project, titled Developing Explainable AI Agents for Autonomous Driving, is hosted at the Australian Institute for Machine Learning (AIML), City Campus, with industry embedment through Motovis Australia.

This PhD focuses on how AI can make autonomous driving systems safer, more reliable, and easier to validate, with emphasis on continuous learning and explainable AI. It is a strong fit for applicants interested in Computer Science, Artificial Intelligence, Robotics, and related areas, especially those with practical experience in machine learning, Python, and PyTorch.

The opportunity includes a stipend of $53,815 per year for 4 years and a tuition fee waiver. Applications close on 25 September 2026 and may close early, so interested candidates should apply promptly.

For full details, eligibility criteria, and application instructions, refer to the attached project information shared with the post.

Funding details

Industry PhD opportunity with a stipend of $53,815 per annum for 4 years plus a tuition fee waiver. Includes industry embedment with Motovis Australia.

What's required

Suited to graduates in Computer Science, AI, Robotics or a related field. Applicants should have experience in machine learning, Python, and PyTorch.

How to apply

Review the attached project information for full details, eligibility, and application instructions. Submit the application before 25 September 2026; the opportunity may close early.

More information can be found here

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