Job Search

Applicant Login

Research Fellow

Apply now Job no: 500668
Work type: Full-time
Location: Sydney, NSW
Categories: Lecturer, Post doctoral research fellow

Research Fellow

ARC Centre of Excellence in Population Ageing Research

UNSW Business School

  • One of Australia’s leading research & teaching universities
  • Vibrant campus life with a strong sense of community & inclusion
  • Enjoy a career that makes a difference by collaborating & learning from the best

At UNSW, we pride ourselves on being a workplace where the best people come to do their best work.

UNSW Business School is a leader in business education and research in the Asian region and one of the largest Business Schools in Australia with more than 15,000 students, 500 academic and professional staff and more than 80,000 alumni and partners. The Business School offers a full suite of business degree programs at undergraduate, postgraduate, coursework and research levels, including the AGSM MBA programs and a range of Executive Programs. Its direction is guided by a business advisory council of leading CEOs, chairpersons and other business leaders.

The ARC Centre of Excellence in Population Ageing Research (CEPAR) is a multi-disciplinary research centre administered by the University of New South Wales with nodes at the Australian National University, Curtin University, the University of Melbourne and the University of Sydney and 16 official partners drawn from industry, government and academe.

About the position

  • $109,365 - $128,926 plus 17% superannuation and leave loading
  • 2 Years Fixed Term, Full Time

CEPAR seeks to appoint a suitably qualified person to join a multi-disciplinary research team working on an ARC linkage project titled “Policy modelling for ageing in emerging economies: The case of Indonesia” in collaboration with the World Bank and the Indonesian Ministry of National Development Planning (Bappenas).

The Research Fellow (Level B academic) will conduct high quality research on the development and computation of a life-cycle growth model that incorporates fundamental features of emerging economies such as a large informal sector and deficient social protection policies.

About the successful applicant

The successful applicant will hold a PhD in Economics, Econometrics or a related discipline, or be close to completion of a PhD. In addition, the successful candidate will have excellent computing and data analysis skills with expertise in FORTRAN, MATLAB, STATA highly regarded; familiarity with overlapping generations (OLG) models and associated coding; a strong research record, relevant to the opportunity, in a field relevant to population ageing; the ability to work both independently and as a member of a multidisciplinary research team; and demonstrated ability to communicate research findings.

Please note that the successful applicant must have current Australian work rights and be able to commence by the end of March 2021 to be a considered for the position.

How to apply

You should systematically address the selection criteria listed within the position description in your application. Please apply online - applications will not be accepted if sent directly to the contact listed.

Contact

Dr George Kudrna, Chief Investigator and Project Leader

E: g.kudrna@unsw.edu.au

T: 0416729572

Applications close: 11:55pm on Sunday 10 January 2021


Find out more about working at UNSW at https://www.cepar.edu.au/

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.

Position Description

Advertised: AUS Eastern Daylight Time
Applications close: AUS Eastern Daylight Time

Back to search results Apply now Refer a friend

Share this:

| More

Job Search

Refine Search