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Nanyang Technological University Singapore

Research Fellow (Econometrics and Machine Learning)

Nanyang Technological University Singapore Singapore

Education Administration Programs · 501-1,000 employees

Oct 05
machine-learning Junior (0-2 yrs) Full-time Singapore
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About the role

Develop econometric theory and machine learning algorithms for weak instruments and high-dimensional data. Implement simulations and empirical analyses while preparing reproducible code and research papers in collaboration with the team.

What they look for

Econometrics Machine Learning Instrumental Variable Estimation Causal Inference R Python MATLAB Julia Statistical Analysis Data Analysis Bootstrap Methods Cluster-robust Inference Simulation Research Methodology Technical Writing

Requirements

Requires a PhD in Economics, Econometrics, Statistics, or a related field by the start date. Candidates must possess strong skills in econometric theory, causal inference, and proficiency in programming languages like R, Python, MATLAB, or Julia.

Full description

The Economics Programme in NTU’s School of Social Sciences seeks a Research Fellow. The research develops reliable instrumental variable (IV) estimation/inference method and machine learning algorithm with weak instruments, high-dimensional instruments or controls, and clustered data.

 

Key Responsibilities:

  • Develop econometric theory for weak-identification-robust tests, bootstrap methods, estimator combinations, and leave-cluster-out bias correction and inference methods.
  • Implement simulations and empirical analyses of import competition, education, and pretrial decisions using IV regressions.
  • Prepare reproducible code, research papers, technical appendices, and presentations in collaboration with the project team.

 

Job Requirements:

  • PhD in Economics, Econometrics, Statistics, or a closely related field by the appointment start date.
  • Strong econometric theory, probability, statistics, and research skills in IV methods, causal inference, and machine learning.
  • Proficiency in R, Python, MATLAB, or Julia; ability to implement simulations and analyse data.
  • Strong communication and collaboration skills; specialist experience in weak identification, bootstrap methods, or cluster-robust inference is desirable.
  • Entry level PhD candidates who meet the qualification requirement by the start date are welcome; prior postdoctoral experience is desirable.

 

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

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