Postdoctoral Fellow in AI for Retinal Image Analysis
- University of New South Wales
- Australia, NSW
- Jun 10, 2026
Job Description:
The Opportunity
The School of Computer Science and Engineering has an opportunity for a Postdoctoral Fellow to join the Biomedical Image Computing Group and contribute to cutting-edge research in artificial intelligence (AI) for retinal image analysis. As part of a world-leading research team, you will develop and evaluate state-of-the-art AI methods, including machine learning, deep learning, and foundation models, in close collaboration with ophthalmologists, clinicians, and biomedical researchers. This is an exciting opportunity to contribute to impactful research at the intersection of AI and healthcare, helping to advance the diagnosis and treatment of eye diseases through innovative image analysis techniques.
This position offers the opportunity to advance your scholarly research and professional activities on both national and international levels. You will contribute to the writing of scientific papers and reports for leading journals and conferences, participate in conferences and workshops, assist with the supervision of HDR students, and collaborate with clinicians, biomedical researchers, and multidisciplinary research teams.
This role reports to Professor Erik Meijering and has no direct reports.
- Salary, Level A Step 6 - AUD $113,911 per annum + 17% superannuation
- Full time
- Fixed-term contract – 4 months
- Location: Kensington – Sydney, Australia
About UNSW
UNSW is a world‑leading institution recognised for its scale, prestige, and impact. With strong industry engagement and partnerships across sectors, UNSW provides a unique environment where academic expertise translates into real‑world outcomes. The university is home to cutting‑edge research that drives innovation and societal progress, while its excellence in teaching ensures students are prepared to lead in their fields. For academics, UNSW offers an outstanding platform to flourish — combining world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.
The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering
Skills and Experience
- A PhD in a related discipline, and/or relevant work experience.
- Demonstrated track record in research, evidenced by publications in top-tier AI and biomedical journals and conferences, with outcomes of high quality and impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- Strong experience in machine learning and deep learning for retinal image analysis.
- Experience in developing comprehensive benchmarks.
- Solid coding and software engineering skills.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal skills.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.
To Apply:
Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.
Please note applications will not be accepted if sent to the contact listed below.
Contact:
Eugene Aves - Talent Acquisition Partner
Applications close: 11:55 pm (Sydney time) on Sunday, 21 June 2026
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
#LI-DNI
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Job Description:
The Opportunity
The School of Computer Science and Engineering has an opportunity for a Postdoctoral Fellow to join the Biomedical Image Computing Group and contribute to cutting-edge research in artificial intelligence (AI) for retinal image analysis. As part of a world-leading research team, you will develop and evaluate state-of-the-art AI methods, including machine learning, deep learning, and foundation models, in close collaboration with ophthalmologists, clinicians, and biomedical researchers. This is an exciting opportunity to contribute to impactful research at the intersection of AI and healthcare, helping to advance the diagnosis and treatment of eye diseases through innovative image analysis techniques.
This position offers the opportunity to advance your scholarly research and professional activities on both national and international levels. You will contribute to the writing of scientific papers and reports for leading journals and conferences, participate in conferences and workshops, assist with the supervision of HDR students, and collaborate with clinicians, biomedical researchers, and multidisciplinary research teams.
This role reports to Professor Erik Meijering and has no direct reports.
- Salary, Level A Step 6 - AUD $113,911 per annum + 17% superannuation
- Full time
- Fixed-term contract – 4 months
- Location: Kensington – Sydney, Australia
About UNSW
UNSW is a world‑leading institution recognised for its scale, prestige, and impact. With strong industry engagement and partnerships across sectors, UNSW provides a unique environment where academic expertise translates into real‑world outcomes. The university is home to cutting‑edge research that drives innovation and societal progress, while its excellence in teaching ensures students are prepared to lead in their fields. For academics, UNSW offers an outstanding platform to flourish — combining world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.
The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering
Skills and Experience
- A PhD in a related discipline, and/or relevant work experience.
- Demonstrated track record in research, evidenced by publications in top-tier AI and biomedical journals and conferences, with outcomes of high quality and impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.
- Strong experience in machine learning and deep learning for retinal image analysis.
- Experience in developing comprehensive benchmarks.
- Solid coding and software engineering skills.
- Proven commitment to proactively keeping up to date with discipline knowledge and developments.
- Demonstrated ability to undertake high quality academic research and conduct independent research with limited supervision.
- Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
- Evidence of highly developed interpersonal skills.
- Demonstrated ability to communicate and interact with a diverse range of stakeholders and students.
- An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
- Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.
Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.
To Apply:
Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.
Please note applications will not be accepted if sent to the contact listed below.
Contact:
Eugene Aves - Talent Acquisition Partner
Applications close: 11:55 pm (Sydney time) on Sunday, 21 June 2026
UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.
#LI-DNI
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