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Nanyang Technological University

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Research Fellow (Postdoctoral) in Econometrics and Machine Learning Nanyang Technological University in Singapore

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Country flag

Country

Singapore

University

Nanyang Technological University

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Keywords

Computer Science
Mathematics
Causal Inference
Bootstrap Method
Data Clustering
Economics
High-dimensional Data
Statistics
Econometrics
ML

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About this position

Nanyang Technological University Singapore is seeking a Research Fellow in Econometrics and Machine Learning within the Economics Programme of the School of Social Sciences. This postdoctoral research role focuses on developing reliable econometric methods for instrumental-variable estimation and inference in challenging empirical settings.

The project addresses weak instruments, high-dimensional instruments or controls, and clustered data. The Research Fellow will develop weak-identification-robust tests, bootstrap methods, estimator combinations, and leave-cluster-out bias-correction and inference methods. The work combines econometric theory with computational implementation and empirical research.

The empirical component covers applications including import competition, education, and pretrial decisions using instrumental-variable regressions. The researcher will implement simulations and analyse data, prepare reproducible code, write research papers and technical appendices, and contribute to presentations in collaboration with the project team.

The position offers a research environment at NTU's Economics Programme and School of Social Sciences, with interdisciplinary connections across econometrics, statistics, causal inference, machine learning, and applied economics.

Funding details

Available

What's required

A PhD in Economics, Econometrics, Statistics, or a closely related field is required by the appointment start date. Applicants should have strong econometric theory, probability, statistics, and research skills in instrumental-variable methods, causal inference, and machine learning. Proficiency in R, Python, MATLAB, or Julia and the ability to implement simulations and analyse data are required. Strong communication and collaboration skills are expected. 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.

How to apply

Apply through the official NTU Workday job portal using the Apply button on the Research Fellow (Econometrics and Machine Learning) vacancy. Only shortlisted candidates will be notified.

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