Postdoctoral Fellow in Tax Transfer System
University of New South Wales
Australia

Postdoctoral Fellow

Apply now Job no: 500805
Work type: Full-time
Location: Sydney, NSW
Categories: Post doctoral research fellow

The Postdoctoral Fellow 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 Postdoctoral Fellow 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 ARC Centre of Excellence in Population Ageing Research (CEPAR). The role will support the research team, meet project milestones, and will build productive relationships with internal and external stakeholders.

  • Level B
  • Fixed Term 3 years Full Time
  • Kensington, Sydney

The role will report to Professors Michael Keane and Alan Woodland and has no direct reports. Accountabilities Specific Accountabilities for this role include:

• Conduct hands-on research into optimal taxation and labour supply independently, and as part of a team.

• Contribute to the writing of scientific papers and reports for international journals and progress reporting to other researchers and industry partners.

• 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.

• Participate in and/or present at conferences and/or workshops relevant to the project as required. • Assist with the supervision of research students in the research area where required.

• Align with and actively demonstrate the UNSW Values in Action: Our Behaviours and the UNSW Code of Conduct.

• Cooperate with all health and safety policies and procedures of the university and take all reasonable care to ensure that your actions or omissions do not impact on the health and safety of yourself or others. Skills and Experience

• 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.

• 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.

• An understanding of and commitment to UNSW’s aims, objectives, and values in action, together with relevant policies and guidelines.

• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety Training

Please apply online via https://www.jobs.unsw.edu.au/. Applications will not be accepted if sent to the contact listed on the UNSW Jobs website. 

Contact: Nikki Hayes

E: Nikki.Hayes@unsw.edu.au

Applications close: 11:50pm, 15 January 2021

 UNSW aspires to be the exemplar Australian university and employer of choice for people from diverse backgrounds.

UNSW aims to ensure equality in recruitment, development, retention and promotion of staff, and that no-one is disadvantaged on the basis of their gender, cultural background, disability, sexual orientation or identity. We encourage everyone who meets the selection criteria to apply.

Advertised: 15 Dec 2020 AUS Eastern Daylight Time

Applications close: 15 Jan 2021 AUS Eastern Daylight Time


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