Title: Research Fellowship
- Employer: The University of Auckland (Economics)
- Location: New Zealand
- Position Type: Post-Doc
- Deadline: Mar 31, 2017
- Job Description:
The Department of Economics at the University of Auckland is looking to appoint a post-doctoral research fellow in Econometrics. The research fellow will work with Professor Peter Phillips and Dr Ryan Greenaway-McGrevy on projects related to forecasting with large panel datasets.
The project, funded by the Royal Society of New Zealand under a Marsden Grant, will involve a mix of theory and application. The theoretical component will develop foundational econometric theory for forecasting with panel data structures, while the empirical component will apply the developed methodologies to a detailed spatial panel of New Zealand real estate information.
Candidates will also be expected to teach one postgraduate course in econometrics in each year of the fellowship.
The ideal starting date is 1 November, 2017 but is negotiable, and the position will last for two years. The research fellow must have received their PhD within the last three years. Ideal applicants will:
- have experience in applied time-series, panel data and spatial econometrics
- have a firm grasp of time series asymptotic theory, including non-stationary asymptotics
- be willing to teach postgraduate econometrics
- be fluent in programming languages such as Matlab, Gauss or R
- be willing to learn how to use geographical software packages such as ARCGIS
Candidates should submit a CV, three confidential letters of reference, copies of research papers/publications, and a cover letter detailing their primary academic interests and how their research interests align with the project. If available, applicants should also include any teaching or tutoring evaluations in their submission.
Any questions regarding the position can be directed to Ryan Greenaway-McGrevy at firstname.lastname@example.org
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