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Opportunities

The Genetic Epidemiology Research Alliance (GERA) will be releasing funding opportunities for projects guided by our investigators throughout our 5-year funding period. These include funding for seed projects, postdocs, PhD students, larger initiatives, and Early Career Researcher (ECR) travel & development grants that align with GERA’s vision and aims.

Most of these opportunities will require supervision or collaboration with our Chief Investigators (CI). Find out more about our investigators here.

Application rounds will occur each year. Subscribe to keep up to date with our funding announcements. You can contact a GERA CI to plan a project with them at any time – see the ‘Express your interest’ section below.


Round 1 (2025)

Download application forms and marking rubrics for each funding category below.

Applications are opening soon for the following:

Postdoc Fellowships ($40,000)

PhD Scholarship Top-Ups ($10,000)

Early Career Researcher Travel & Development Grants ($1,000)

Soon after we will open:

Seed Projects ($40,000)

Then we will open:

Larger Initiatives ($100,000)


Express your interest now

You can start planning a project application. Identify a potential project with a Chief Investigator (CI) and contact them to discuss details.

With your expression of interest to the CI please provide:

  • Your CV
  • The opportunity you are interested in applying for above
  • A short paragraph describing your research interests and a potential project proposal based on the CIs interest areas or suggested topics outlined in their bio (see below)
  • Suggested subject title: GERA funding opportunities EOI

Questions? Please contact Jessica Tyler, GERA manager: jess.tyler@unimelb.edu.au

Chief Investigators and Suggested Topics

Associate Professor Shuai Li

Head of GERA, Melbourne School of Population & Global Health, University of Melbourne

Expertise
Epidemiology, genetics, epigenetics, biostatistics, cancer risk modelling, twins & family research

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Suggested topics
- Variation in polygenic risk scores in predicting disease risk and explaining familial aggregation.
- Cancer risks related to cancer susceptibility genes.
- Epigenetics related to hormonal risk factors.

Associate Professor Jesse Young

Dalla Lana School of Public Health, University of Toronto

Expertise
Psychiatric epidemiology, injury epidemiology, linked data research, twin and family studies

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Suggested topics
- Examining the impact of familial confounding in the relationship between depression and alcohol harms in young people.
- Is the relationship between bipolar disorder and substance use disorder consistent with causality?
- Are sex differences in the onset and co-occurrence of mental illness and substance use disorder causal?

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