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Maryam Haghighat

3 weeks ago

PhD Opportunities in Computer Vision and AI at Queensland University of Technology Queensland University of Technology in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

Queensland University of Technology

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Keywords

Computer Science
Environmental Science
Electrical Engineering
Information Technology
Deep Learning
Artificial Intelligence
Civil Engineering
Computer Vision
Infrastructure Management
Sensor Fusion
Robotics
Multi-task Learning
Autonomous System

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About this position

Queensland University of Technology (QUT), School of Electrical Engineering and Robotics, is advertising PhD opportunities in Computer Vision and AI. The projects focus on developing AI methods that learn from multiple data sources, including images, text, LiDAR, and temporal sensor streams, with an emphasis on real-world robustness when data are noisy, incomplete, or changing.

The research connects to applications in robotics, autonomous systems, and environmental and infrastructure monitoring. Students may also engage with active collaborations with industry and research partners, and work on problems where AI has practical impact beyond benchmark datasets.

The ideal applicant should have strong Python skills, a solid foundation in deep learning, and a genuine interest in research. The post also explicitly encourages applications from underrepresented groups in STEM, including women and gender-diverse applicants.

Interested candidates should send a CV and a short note describing their research interests to maryam.haghighat@qut.edu.au. More information about the application process and example PhD topics is available through the linked pages.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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