Research Fellow (Econometrics and Machine Learning)
ntu · NTU Main Campus
Job description
About the role
The School of Social Sciences at NTU is seeking a Research Fellow to develop robust instrumental variable estimation methods and machine‑learning algorithms for weak instruments, high‑dimensional settings, and clustered data.
Key responsibilities
- Develop econometric theory for weak‑identification‑robust tests, bootstrap methods, estimator combinations, and leave‑cluster‑out bias correction.
- Implement simulations and conduct empirical analyses on topics such as import competition, education, and pre‑trial decisions using IV regressions.
- Prepare reproducible code, research papers, technical appendices, and presentations in collaboration with the project team.
Required profile
- PhD in Economics, Econometrics, Statistics, or a closely related field by the start date.
- Strong background in econometric theory, probability, statistics, and causal inference.
- Excellent communication and collaboration skills; prior postdoctoral experience is desirable.
Required skills
- Proficiency in R.
- Proficiency in Python.
- Proficiency in MATLAB.
- Proficiency in Julia.
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Published 8 hours ago
Expires 1 month from now
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ntu
NTU Main Campus
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