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University of Adelaide

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PhD Opportunities in AI, Machine Learning and Endometriosis Imaging University of Adelaide in Australia

Degree Level

PhD

Field of study

Computer Science

Funding

Two PhD opportunities are advertised. The post does not specify stipend amount, tuition coverage, or whether the positions are fully funded.

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Country

Australia

University

University of Adelaide

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Keywords

Computer Science
Data Science
Biomedical Engineering
Medical Imaging
Mathematics
Artificial Intelligence
Women's Health
Computer Vision
Medical Science
Salud Pública
Endometriosis
Statistics
ML

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About this position

The Adelaide endometriosis research group is advertising two PhD opportunities at the University of Adelaide in Australia.

These projects are especially suitable for applicants from computer science, mathematics, data science, AI, or other quantitative backgrounds who want to apply computational methods to a major women’s health problem.

Project themes include:

- AI and ultrasound education, using medical imaging data and real-time computational methods.

- Adolescent endometriosis detection from imaging.

The research is described as multidisciplinary and focused on developing and evaluating AI, machine learning, computer vision, and other data-driven approaches in a clinical setting.

Applicants interested in endometriosis, medical imaging, ultrasound, and computational research are encouraged to get in touch. The post highlights an award-winning team and real-world clinical impact.

To apply or ask questions, contact Hsiang-Ting (Tim) Chen at [email protected] or Associate Professor Jodie Avery at [email protected]. A short link to the opportunity page is also included in the post.

Funding details

Two PhD opportunities are advertised. The post does not specify stipend amount, tuition coverage, or whether the positions are fully funded.

What's required

Applicants should have a background in computer science, mathematics, data science, AI, machine learning, computer vision, or a related quantitative field. The projects are suited to graduates interested in applying computational methods to a clinical women’s health problem. No specific GPA, degree class, or language-test requirement is mentioned.

How to apply

Interested candidates should email Hsiang-Ting (Tim) Chen or Associate Professor Jodie Avery to express interest. The post also includes a short link to the opportunity page.

More information can be found here

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