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Swinburne University of Technology

Fully Funded Joint PhD in Artificial Intelligence and Machine Learning Swinburne University of Technology

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Country

-

University

Swinburne University of Technology

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Keywords

Computer Science
Data Science
Electrical Engineering
Deep Learning
Mathematics
Artificial Intelligence
Natural Language Processing
Software Engineering
Computer Vision
Robotics
Statistics
Machine learning

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About this position

Fully funded joint PhD opportunity in Artificial Intelligence, Machine Learning, and Intelligent Systems through Swinburne University of Technology (Australia) and the University of Auckland (New Zealand).

The project is aimed at developing novel AI and machine learning methods to address real-world challenges, with possible research directions including deep learning, computer vision, natural language processing, trustworthy AI, data science, robotics, and human-centered AI.

Applicants with backgrounds in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, Mathematics, or related areas are encouraged to apply. The post asks for a Master’s degree or equivalent, a strong academic record, Python or related programming experience, and strong research motivation and communication skills.

Funding includes full tuition fee coverage and a living stipend for the duration of the PhD. The program also offers joint supervision from researchers at both universities, international research experience across Australia and New Zealand, and access to world-class facilities and collaborative research networks.

Interested candidates should review the official joint PhD program page and the University of Auckland joint doctoral programmes page for application details and eligibility information.

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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