PhD Programmes

PhD in Robotics & Autonomous Systems

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Overview

Step into the frontier of intelligent machines with the PhD in Robotics & Autonomous Systems. This research-intensive doctoral programme is designed for high-achieving students passionate about pushing the boundaries of automation, AI, and cyber-physical systems. From drone technologies and mobile robotics to autonomous navigation and machine perception, your work will contribute to real-world advancements in industry, defence, health, and the environment.

Course Details

Investigate robotic perception, human-robot interaction, control systems, and embedded AI.
Collaborate across disciplines including mechatronics, computer science, and engineering.
Apply your research in real-world platforms including drones, vehicles, and smart sensors.
Access robotics labs and prototyping centres equipped for AI-driven experimentation.
Contribute to international research in automation, safety, and adaptive systems.

Offshore Student Requirements

Honours or Master’s degree in robotics, computer science, or engineering field.
Submit a detailed research proposal aligned with supervisor expertise.
IELTS 7.0 overall with no band below 6.5 or approved equivalent.
Supervision confirmation required before finalising enrolment.
Valid student visa and OSHC are required for the research duration.

Graduate Outcomes

Robotics Researcher in labs, R&D, or autonomous systems design.
Autonomous Systems Engineer developing intelligent control software.
Academic or Lecturer contributing to future robotics education.
Tech Entrepreneur launching robotics start-ups or automation products.
Systems Engineer in defence, transport, or space innovation sectors.
Related Courses
Master of Robotics and Mechatronics Engineering
For advanced engineering training.
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PhD in Artificial Intelligence
For algorithmic and learning system focus.
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PhD in Mechanical or Electrical Engineering
For broader research integration.
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Graduate Certificate in Embedded Systems
Pre-research technical training.
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PhD in Computer Vision
Ideal for robotics perception and autonomy research.
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    Email:
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