universities.
About the role:
The Research Fellow will initiate, design and conduct productive, high-quality research, scholarship and creative activities generating high impact outputs in their discipline area. The Research Fellow may lead and research activities and is expected to engage collaboratively to develop novel research outcomes. This position is suited to a researcher keen to explore and build on new areas and foster research and researcher development to have real-world impact and contribute to a dynamic and enthusiastic research team.
As a Quantitative Research Fellow, you will:
- Lead and support the design, programming and implementation of large-scale, nationally representative education surveys using Qualtrics, ensuring methodological rigour and high-quality data collection.
- Initiate, design and conduct quantitative research using advanced statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets.
- Advise on survey methodology, sampling strategy and weighting procedures (e.g., post-stratification, raking) to ensure valid and reliable national estimates.
- Clean, validate and manage large-scale survey datasets and ensure reproducibility through well-documented analytical code and workflows.
- Contribute to peer-reviewed publications, policy reports and dissemination activities that enhance national impact and research excellence.
To be successful, you’ll have:
- PhD in Education, Educational Psychology, Educational Measurement, Public Policy, Sociology, Economics, Statistics, Data Science or a closely related discipline.
- Demonstrated expertise in Qualtrics survey programming for large-scale surveys.
- Strong knowledge of survey methodology, sampling design and weighting procedures.
- Advanced quantitative analysis skills using R, Stata, SPSS, MPlus or Python.
- Experience managing nationally representative survey datasets and conducting complex statistical analyses (including multilevel modelling and SEM).
Here's how to apply:
Please submit your updated resume, a short cover letter and responses to the Key Selection Criteria.
For a confidential discussion regarding this role, please contact Ben Arnold (Associate Professor) via email at ben.arnold@deakin.edu.au
For a copy of the position description, please see below:
Final_Quantitative Research Fellow Level B_PD.pdf
Applications for this position close at 11.55pm on Monday 30th March.
Are You Ready?
Deakin is a Victorian university with a global impact. We are an agile, dynamic, and innovative university committed to making a positive impact through our excellence in education, research and innovation and the contributions we make to the wider community.
We understand that our reputation has been built on the dedication and expertise of our staff and we offer a dynamic and diverse working environment with opportunities to grow and develop careers. We believe that a progressive, thriving culture will ensure that people choose to come, and stay at Deakin and contribute to our ongoing success.
We value diversity and aim to build an inclusive environment that champions, embraces and respects differences. We support and encourage applications from Aboriginal and Torres Strait Islander people, and people of all abilities, cultures, sexual orientation, and genders.
Pre-employment safety and suitability checks:
In accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence, appointment to this role is subject to successful completion of relevant pre-employment checks, including Working With Children Checks and candidate gender-based violence declarations.
Candidates may be asked to declare whether they have been investigated for an allegation of Gender‑based Violence, or determined to have engaged in conduct that constitutes Gender‑based Violence during the course of their previous employment, or otherwise in a legal process. A declaration is not required from individuals who have experienced gender‑based violence. A ‘Yes’ response does not automatically exclude a candidate from employment, and any information provided will be treated confidentially and considered only for relevance to the role and the University’s safety obligations.
Advertised: 17 Mar 2026 AUS Eastern Daylight Time
Applications close: 30 Mar 2026 AUS Eastern Daylight Time
