Question 1

What qualifications are required for the Postdoctoral Fellow in AI for Retinal Image Analysis?

Accepted Answer

Applicants need a PhD in Computer Science , Engineering or a closely related discipline. Strong expertise in machine learning, deep learning and foundation models is essential, along with experience in biomedical or retinal image analysis. See our postdoc opportunities for similar roles.

Question 2

What are the key responsibilities of this Postdoctoral Fellow position?

Accepted Answer

You will develop and evaluate state-of-the-art AI methods for retinal image analysis, write scientific papers, attend conferences, and assist with supervision of HDR students in collaboration with ophthalmologists and clinicians.

Question 3

Is there visa sponsorship available for this academic role in Sydney?

Accepted Answer

Visa sponsorship details are not specified in the posting. International candidates should check eligibility via the university HR page or contact the hiring team directly.

Question 4

How do I apply for the Postdoctoral Fellow in AI for Retinal Image Analysis?

Accepted Answer

Applications must be submitted before the deadline of 21 June 2026 . Prepare a strong academic CV highlighting relevant AI and imaging experience. Guidance is available in our academic CV guide .

Question 5

What research impact can I expect from this role?

Accepted Answer

The position focuses on advancing diagnosis and treatment of eye diseases through innovative AI techniques at the intersection of computer science and healthcare, with opportunities for high-impact publications and international collaboration.

Postdoctoral Fellow in AI for Retinal Image Analysis

University of New South Wales

Sydney, NSW

Welcome to AcademicConnect!

Postdoctoral Fellow

Postdoctoral Fellow in AI for Retinal Image Analysis

Lecturer or Senior Lecturer, Computer Vision

Research Assistant, Image Processing

Research Assistant, Image Processing