CERA

Careers and study

Student opportunities

Explore research projects currently open for expressions of interest from Masters, Doctorate or PhD students.

AI, eyes and cardiovascular disease

Artificial intelligence system to detect eye and cardiovascular disease

Supervisor: Professor Mingguang He

Email: [email protected]

Suitable for: PhD or MPhil

Retinal photography gives us the ability to visualise the retina, optic disc, macula and blood vessels. It is the most important, low-cost and non-invasive diagnostic tool for common eye diseases such as glaucoma, diabetic retinopathy (DR), and age-related macular degeneration (AMD).

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AI for early diagnosis

Integrating retinal photography and AI for improved early diagnosis of eye disease.

Supervisor: Professor Mingguang He

Email: [email protected]

Suitable for: PhD or MPhil

Funded by an NHMRC Partnership Grant, this project will be based on Professor He’s current AI-based fundus image diagnosis system, a do-it-yourself (DIY) screening system that is less dependent on technicians for image acquisition, and less dependent on eye care professionals in the interpretation of clinical images.

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Artificial intelligence in ophthalmology

From data to algorithm and real-world application

Supervisor: Professor Mingguang He

Email: [email protected]

Suitable for: PhD or MPhil

Funded by a NHMRC Investigator Grant from 2020-2025, this project aims to further evolve artificial intelligence technology to develop and validate a clinical decision system that can predict disease outcomes and prognosis, as well as help clinicians decide on treatment options, based on real-world multi-modality clinical data.

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Atrophic AMD treatment

Enabling treatment trials of atrophic age-related macular degeneration

Primary Supervisor: Dr Zhichao Wu
Email: [email protected]

Suitable for: PhD

Although treatments currently exist for the acute, neovascular complications of age-related macular degeneration (AMD), individuals that develop atrophic complications currently face an inevitable future of progressive central vision loss since no effective treatments are available to prevent or slow the unrelenting degeneration of the retina.

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Glaucoma novel imaging

Taking the ‘guesswork’ out of clinical management with novel imaging

Supervisor: Dr Zhichao Wu
Email: [email protected]

Suitable for: PhD

The clinical management of glaucoma seeks to prevent patients from experiencing visual disability from the progressive degeneration of retinal ganglion cells. This task is especially difficult by the lack of effective methods to detect and characterise disease progression accurately and meaningfully.

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Keratoconus and big data

Finding solutions using big data analysis

Supervisors: Dr Srujana Sahebjada and Professor Mark Daniell

Email: [email protected]

Keratoconus is a common condition that affects the cornea and despite its increasing prevalence, the cause of keratoconus is largely unknown.

The aim of the projects is to better understand the underlying molecular causes, clinical characteristics and treatment options of keratoconus to develop strategies that can halt the disease progression.

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Managing glaucoma suspects

Evidence-based practice to manage glaucoma suspects

Supervisors: Dr Zhichao Wu Dr Laura Downie

Email: [email protected] and [email protected]
Suitable For: PhD or MPhil

Glaucoma is a leading cause of irreversible vision loss in Australia and worldwide, with half of the those with this condition being undiagnosed. Approximately one in ten Australians over 50 years old would fit the criteria for being a glaucoma suspect, but there is limited evidence about how to identify those at high-risk of developing glaucoma and who prophylactic treatment is warranted for.

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Mitochondrial optic neuropathy

Validation and characterisation of biomarkers

Supervisor: Dr Isabel Lopez Sanchez

Email: [email protected]

Suitable for:  Honours, MSc, PhD

Leber’s hereditary optic neuropathy (LHON) is the most common mitochondrial disease and causes irreversible blindness primarily in young men. Using RNA sequencing we have identified potential protective and pathogenic biomarkers in this disease.

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Optic atrophy genetic screening

Developing a genetic screening panel for research purposes

Supervisor: Dr Isabel Lopez Sanchez

Email: [email protected]

Project suitable for: Honours, MD project (6 months)
Starting date: Anytime

This project aims to improve the genetic diagnosis of optic atrophy, the most frequently inherited optic nerve disease, for further genotype-phenotype studies.

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Retinal satellite imaging

Using satellite technology to image the retina for early signs of Alzheimer’s disease and glaucoma

Supervisors:  Associate Professor Peter van Wijngaarden and Dr Xavier Hadoux
Email:
 [email protected]

Suitable for: PhD

We aim to be the first group in the world to bring hyperspectral imaging, based on NASA satellite technology, to the clinic to improve the care of Australians with Alzheimer’s disease, glaucoma and a range of retinal diseases

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Further information and how to express interest.