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Research Fellow (Econometrics and Machine Learning)

ntu · NTU Main Campus

New
Junior 🇬🇧 English
Python MATLAB Julia

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.

Questions fréquentes

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Source : ats:workday

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Published 8 hours ago

Expires 1 month from now

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ntu

NTU Main Campus