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PhD Position in Computer Vision, Robotic Perception, Control, Reinforcement Learning, and Machine Learning at the University of Queensland University of Queensland in Australia
Degree Level
PhD
Field of study
Computer Science
Funding
The post does not state a guaranteed funding package. It notes that collaboration and visits to top robotics labs are subject to funding, and links to UQ graduate school scholarships (including RTP) as a possible funding source.
Country
Australia
University
University of Queensland

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About this position
PhD opportunity at the University of Queensland in Brisbane, Australia, in the School of Electrical Engineering and Computer Science.
The project sits at the intersection of computer vision, robotic perception (including SLAM), control, reinforcement learning, and machine learning. The supervisor says they are looking for an excellent and motivated PhD student with experience in any non-empty subset of these areas.
This is a strong fit for students interested in robotics, autonomous systems, perception, and learning-based control. The post also mentions the chance to collaborate with and visit top robotics labs globally, subject to funding.
Funding: The post links to UQ graduate school scholarships, including RTP, but does not promise a fully funded place in the post itself.
How to apply: Email your CV and transcripts to [email protected]. Use the subject line “PhD Application”.
Funding details
The post does not state a guaranteed funding package. It notes that collaboration and visits to top robotics labs are subject to funding, and links to UQ graduate school scholarships (including RTP) as a possible funding source.
What's required
Applicants should be excellent and motivated candidates with experience in any non-empty subset of computer vision, robotic perception (including SLAM), control, reinforcement learning, and machine learning. The post asks for a CV and transcripts; no specific degree, GPA, or language-test requirement is stated in the post.
How to apply
Email [email protected] with your CV and transcripts. Use the subject line "PhD Application" so the email can be found easily. Review the linked UQ scholarship page for possible funding options.
More information can be found here
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