Testing effect of environmental exposures on subsequent human generations

Project opportunity

This Earmarked Scholarship project is aligned with a recently awarded Category 1 research grant. It offers you the opportunity to work with leading researchers and contribute to large projects of national significance.

We are seeking a PhD candidate to join our research team in this exciting project funded by the Australian Research Council. The research group has conducted work within genetic epidemiology, focusing on pregnancy related exposures and outcomes.

Depending on the student’s level of experience and aptitude, they will help develop and/or apply statistical genetics approaches to investigate the possible existence of transgenerational epigenetic effects on human phenotypes.

A PhD is about learning new skills and learning how to do research. Our ideal candidate will have knowledge or keen interest in learning genetics, epidemiology, statistics, unix and shell scripting, and statistical software such as R. You will work closely with an experienced researcher on the project. There will also be possibility for a research stay in Norway during this PhD.

The main purpose of the fellowship is research training leading to the successful completion of a PhD degree.  

The advertised projects are fundamentally quantitative and computer-based, and so evidence of aptitude in these areas is essential. The candidate should also have the ability to design, plan, and execute experiments and be proficient in English, both written and oral. 

We are looking for someone who is:

  • Excellent communication and team working skills
  • Organized and structured
  • Flexible
  • Enthusiastic and willing to learn new methods and techniques

Scholarship value

As a scholarship recipient, you'll receive: 

  • living stipend of $32,192 per annum tax free (2023 rate), indexed annually
  • tuition fees covered
  • single Overseas Student Health Cover (OSHC)


Dr Gunn-Helen Moen

Institute for Molecular Bioscience

Email: g.moen@uq.edu.au

Preferred educational background

Your application will be assessed on a competitive basis.

We take into account your

  • previous academic record
  • publication record
  • honours and awards
  • employment history.

A working knowledge of statistical software, such as R, would be of benefit to someone working on this project.

The applicant will demonstrate academic achievement in the field(s) of genetic epidemiology and the potential for scholastic success.

A background or knowledge of epidemiology, statistics, genetics, mathematics, computer science, bioinformatics, econometrics, psychology, molecular biology or physics is highly desirable.

Latest commencement date

If you are the successful candidate, you must commence by Research Quarter 1, 2024. You should apply at least 3 months prior to the research quarter commencement date.

If you are an international applicant, you may need to apply much earlier for visa requirements.

How to apply

You apply for this project as part of your PhD program application.

View application process