Postdoctoral Econometrics Research Fellow — Hybrid

Times Higher Education

Sydney

On-site

AUD 104,000 - 127,000

Full time

7 days ago
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Benefits offered by this job

Flexible hybrid work arrangements
17% Superannuation
Subsidised onsite parking

Job summary

Macquarie University, located at the Wallumattagal Campus in North Ryde, invites applications for a postdoctoral researcher to join a high-impact econometrics project led by Professor Shuping Shi. The role focuses on counterfactual policy evaluation and high-frequency econometric methods using intraday data.

The successful candidate will contribute to one or both directions, with strong opportunities for collaboration and publication.

Qualifications

  • PhD completed or near completion in econometrics, statistics, economics or related field.
  • Strong research record in econometrics, statistics or related fields, with publications or working papers.
  • Ability to supervise postgraduate research students.
  • Ability to conduct research independently and collaborate with others.
  • Experience presenting research findings at conferences or seminars.
  • Excellent written and oral communication skills.
  • Advanced computing and programming skills with MATLAB, R or Python.

Responsibilities

  • Contribute to one or both directions of the research project.
  • Carry out econometric analyses and develop methodologies.
  • Collaborate with investigators and supervise students where appropriate.

Skills

MATLAB
R
Python
Independent research

Education

PhD (completed or near completion)

Tools

MATLAB
R
Python

Job description

Macquarie University, located at the Wallumattagal Campus in North Ryde, invites applications for a postdoctoral researcher to join a high-impact econometrics project led by Professor Shuping Shi. The role focuses on counterfactual policy evaluation and high-frequency econometric methods using intraday data.

The successful candidate will contribute to one or both directions, with strong opportunities for collaboration and publication.

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