PhD Candidate: Macro Forecasting & Data Science

ETH Zürich; Zürich; Vor Ort; CHF 65.000 - 90.000; Vollzeit

Zusammenfassung

ETH Zürich's KOF Swiss Economic Institute invites applications for a PhD Student position in Macroeconomic Forecasting and Data Science. The role involves contributing to the quarterly economic outlook and pursuing a high-quality PhD dissertation in applied macroeconomics, macroeconometrics, or nowcasting and forecasting.

You will develop, implement, and evaluate forecasting models, analyze large macroeconomic and high-frequency datasets, and maintain reproducible code and data pipelines.

Qualifikationen

• Excellent academic results and motivation to produce high-quality, policy-relevant research.
• Master's degree in Economics, Econometrics, Data Science, Statistics, or a closely related quantitative field.
• Solid knowledge of economics and economic policy issues; quantitative and programming skills.

Aufgaben

• Participate in preparing the international economic outlook for the quarterly forecast publication.
• Pursue an excellent PhD dissertation in applied macroeconomics, macroeconometrics, or nowcasting and forecasting.
• Develop, implement, and evaluate new forecasting and nowcasting models using econometric and machine learning methods.
• Analyze large-scale macroeconomic and high-frequency datasets to improve economic forecasting.
• Develop and maintain reproducible code, data pipelines, and research software.

Kenntnisse

Time series econometrics

Forecasting methods

Programming skills

Large real-time datasets

Ausbildung

Master's degree in Economics, Econometrics, Data Science, Statistics or related quantitative field

Jobbeschreibung

ETH Zürich's KOF Swiss Economic Institute invites applications for a PhD Student position in Macroeconomic Forecasting and Data Science. The role involves contributing to the quarterly economic outlook and pursuing a high-quality PhD dissertation in applied macroeconomics, macroeconometrics, or nowcasting and forecasting.

You will develop, implement, and evaluate forecasting models, analyze large macroeconomic and high-frequency datasets, and maintain reproducible code and data pipelines.