Postdoctoral Econometrics Researcher: Policy & Markets

Macquarie University; Sydney; Hybride; AUD 104 000 - 127 000; Plein temps

Avantages offerts par ce poste

Flexible, hybrid work arrangements

17% Superannuation

Annual leave loading

Onsite parking

Professional development

Onsite childcare facilities

Employee Support Program

Campus facilities

Résumé du poste

Macquarie University invites applications for a postdoctoral researcher in the Department of Economics to contribute to a project led by Professor Shuping Shi. The role focuses on econometric methods for counterfactual policy evaluation and high‑frequency econometrics using intraday data.

The successful candidate will work independently and as part of a team, with opportunities to supervise postgraduate students and present findings at conferences.

Qualifications

• PhD in econometrics, statistics, economics or related field (completed or near completion).
• Strong publication record and research output.
• Ability to supervise postgraduate research students.
• Ability to conduct independent and collaborative research.
• Experience presenting research at conferences or seminars.
• Strong written and oral communication skills.
• Advanced computing skills in MATLAB, R or Python.

Responsabilités

• Join a postdoctoral research project led by Professor Shuping Shi.
• Contribute to econometric method development for counterfactual policy evaluation and high‑frequency econometrics with intraday data.
• Collaborate with the research team and supervise postgraduate students as needed.

Connaissances

Econometrics research

Independent & collaborative work

Verbal and written communication

Proficiency in MATLAB/R/Python

Formation

PhD in econometrics, statistics, economics or related field

Outils

MATLAB

R

Python

Description du poste

Macquarie University invites applications for a postdoctoral researcher in the Department of Economics to contribute to a project led by Professor Shuping Shi. The role focuses on econometric methods for counterfactual policy evaluation and high‑frequency econometrics using intraday data.

The successful candidate will work independently and as part of a team, with opportunities to supervise postgraduate students and present findings at conferences.