Post-Doctoral Fellow – CEPAR Knowledge Hub

About UNSW :

UNSW isnt like other places youve worked. Were a large organisation with a diverse and talented community; a community doing extraordinary things. Together we are driven to be thoughtful practical and purposeful in all we do. Taking this combined approach is what makes our work matter. Its the reason were one of the top 50 universities in the world and a member of Australias prestigious Group of Eight. If you want a career where you can thrive be challenged and do meaningful work youre in the right place.

Why Your Role Matters :

We are seeking a Post-Doctoral Fellow to join the CEPAR Knowledge Hub to contribute to research aimed at understanding how older Australians draw down their assets with a particular focus on the role of housing wealth and the Home Equity Access Scheme (HEAS). The research will draw on large individual-level datasets and survey evidence to generate insights that can inform pension superannuation and aged care policy.

The role reports to the CEPAR Knowledge Hub Director with a dotted reporting line to the Research Stream Lead and Senior Investigator. It has no direct reports.

Responsibilities :

Responsibilities in this role include but are not limited to -

• Conduct empirical research independently and as part of a team using large individual-level datasets to analyse patterns of asset drawdown among older Australians.
• Contribute to the design implementation and analysis of surveys of individual preferences for asset drawdown and retirement financing strategies.
• Contribute to the writing of academic papers for leading journals in economics actuarial science or related disciplines.
• Translate research findings into policy-relevant outputs to inform retirement income and aged care policy.
• Assist with the coordination of research activities and actively contribute to research outputs to meet project milestones.
• Contribute to the preparation of research proposal submissions to funding bodies and actively seek collaboration with industry partners as appropriate

Who You Are :

• PhD in Economics Household Finance Actuarial Studies or a related discipline.
• Experience in quantitative analysis of large individual-level datasets including applied microeconometrics statistical modelling or related methods.
• Experience in survey design implementation and statistical analysis.
• Strong skills in econometric and statistical software (e.g. Stata R Python).
• Knowledge of retirement income systems asset drawdown behaviour and housing wealth decumulation (including reverse mortgages and the HEAS) is desirable.
• Demonstrated ability to conduct independent research with limited supervision.

Benefits and Culture :

• Flexible Working Options (work from home flexible hours etc)
• Career development opportunities
• 17% Superannuation contributions and additional leave loading payments
• Additional 3 days of leave over Christmas period
• Discounts and entitlements (retail education fitness)

For further details on the benefits please visit to Apply :

Make each day matter with a meaningful career at UNSW. Upload a cover letter and your resume and submit your application online before 11 : 30pm Sydney time on Sunday 7th December2025. A copy of the Position Description can be on

Get in Touch : Katja Hanewald

Please apply through the application portal and not via the contact above.

UNSW is committed to equity diversity and inclusion. Applications from women people of culturally and linguistically diverse backgrounds those living with disabilities members of the LGBTIQ community; and people of Aboriginal and Torres Strait Islander descent are encouraged. 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.

Key Skills

Teacher Coaching,Public Health,Google Docs,Classroom Experience,Systems Engineering,Research Experience,Teaching,Grant Writing,Leadership Experience,Mentoring,Public Speaking,Writing Skills

Experience : years

Vacancy : 1