Research Fellow (Econometrics and Machine Learning)
Core
Develop econometric theory and machine learning algorithms for robust inference with weak instruments, high-dimensional controls, and clustered data.
Role type
Research Fellow (Econometrics and Machine Learning)
Builds
reproducible code, research papers, technical appendices, and presentations
Domain
Economics, Econometrics, Statistics, Machine Learning (via careerplan.io/jobs/R00025939-research-fellow-econometrics-and-machine-learning-at-ntu)
Deliverable
research
Required skills
econometric theory, probability, statistics, IV methods, causal inference, machine learning, simulation, data analysis
Preferred skills
weak identification, bootstrap methods, cluster-robust inference, postdoctoral experience
Technologies
R, Python, MATLAB, Julia
Responsibilities
Develop econometric theory for weak-identification-robust tests, bootstrap methods, estimator combinations, and leave-cluster-out bias correction; Implement simulations and empirical analyses using IV regressions; Prepare reproducible code, research papers, technical appendices, and presentations
Seniority
Entry-level PhD / Postdoctoral
