Post-Doctoral Fellow – CEPAR Knowledge Hub

Post-Doctoral Fellow – CEPAR Knowledge Hub Join to apply for thePost-Doctoral Fellow – CEPAR Knowledge Hubrole atUNSWRemuneration: Level B from $127,947 base salary + 17% superannuation and leave loadingLocation: Kensington NSW (Hybrid Flexible Working)Employment type: Full timeDuration: Fixed term for 2 yearsThis job is based in AustraliaAbout UNSW UNSW isn’t like other places you’ve worked. We’re 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. It’s the reason we’re one of the top 50 universities in the world and a member of Australia’s prestigious Group of Eight. If you want a career where you can thrive, be challenged and do meaningful work, you’re 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.ResponsibilitiesConduct 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 ArePhD 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 CultureFlexible Working Options (work from home, flexible hours etc)Career development opportunities17% Superannuation contributions and additional leave loading paymentsAdditional 3 days of leave over Christmas periodDiscounts 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 December 2025. 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.#J-18808-Ljbffr