Post-Doctoral Fellow, School of Economics

Job Details

• Employment Type:
  
  full time (35 hours per week)
• Duration: 1-year fixed term with the potential to extend
• Remuneration:
  Level A6 from $113k base, Level B from $127k base plus 17% superannuation and annual leave loading
• Location:
  
  Kensington campus in Sydney, Australia (Hybrid Flexible Working)
• Working rights:
  Sponsorship is available

This Job is based in Australia.

UNSW isn’t like other places you’ve worked. Yes, 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 20 universities in the world (QS top 20) 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.

As the Postdoctoral Fellow, you will drive and contribute to research aimed at improving the design of the tax transfer system. This research project is funded by a major grant from the Australian Research Council (ARC) to Professors Michael Keane and Alan Woodland. The grant supports research aimed at building more sophisticated labour supply models into macroeconomic models that are used for optimal tax analysis.

The role will undertake both collaborative and self-directed research in the general areas supported by the grant, including labour supply modelling, optimal tax modelling within an overlapping generations framework and the interface between the two. The position is based at the School of Economics but will have interactions with academic members from UNSW Centre for Population Ageing Research (CEPAR). The role will support the research team, meet project milestones, and will build productive relationships with internal and external stakeholders.

The role will report to Professors Michael Keane and Alan Woodland and has no direct reports.

• PhD in Economics or related area. Fields of interest are macroeconomics, labour, public finance, econometrics, and computational economics.
• Experience with dynamic stochastic general equilibrium (DSGE) models, overlapping generations (OLG) models, and/or dynamic labour supply models.
• Strong skills in computational economics, including solution methods for DSGE/OLG models and dynamic programming models. Familiarity with simulation and calibration methods.
• Strong skills in econometrics, including familiarity with method of moments and maximum likelihood estimators, as well as experience in estimating labour supply models and models of wage dynamics.
• Ability to work with large datasets, particularly panel and cross section data sets of the types widely used in micro-econometrics, and to calibrate macro models.
• Programming skills in languages such as Fortran, Python, Julia, Matlab, Gauss, etc.
• Demonstrated ability to conduct independent research with limited supervision.
• Demonstrated track record of publications and conference presentations relative to opportunity.
• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.
• Strong interpersonal skills with demonstrated ability to communicate and interact with a diverse range of stakeholders and students.

Please refer to the position description for full details.

• Salary packaging options, including novated leasing.
• Generous leave entitlements, including an additional 3 paid days off over end of year holiday period.
• Access to Fitness Passport, giving you and your family discounted access to hundreds of gyms, pools and fitness facilities.
• Career development opportunities, including access to leadership and professional learning programs.
• Discounts and perks across retail, travel, education and health services.
• A supportive, flexible, and inclusive culture that values wellbeing and diversity.

Find out more about staff benefits at UNSW.

Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required…