Student Assistant in Macroeconomic Forecasting and Data Science

Das ist der Job

The position is available as soon as possible for an initial duration of six months .

Darum lohnt es sich

The project aims to build a harmonized macroeconomic reanalysis dataset that combines international, national, and sub‑national macroeconomic indicators, preserves real‑time data vintages, documents publication lags and revisions, and creates a reproducible data backbone for modern forecasting methods.

Responsibilities Collect macroeconomic data from public statistical offices, central banks, international organisations and data providers such as Macrobond. Benefits Health benefits : discounts on health‑related services.

Student Assistant in Macroeconomic Forecasting and Data Science ETH Zürich is renowned for its excellent education, cutting‑edge research, and direct transfer of new knowledge into practice.

Project background For the KOF Swiss Economic Institute’s Research Division Macroeconomic Forecasting and Data Science , we seek a student assistant to support a research project on macroeconomic reanalysis data and machine‑learning‑based economic forecasting .

Research the availability of real‑time data vintages, release calendars, publication lags, variable definitions, and data revisions. Clean, harmonise, transform and document macroeconomic time series across countries, sectors, regions and frequencies.

Support the creation of a reproducible macroeconomic reanalysis dataset, including metadata, transformation codes and versioning routines. Build and maintain data acquisition routines, including APIs, web scraping and automated downloads where feasible. Conduct descriptive analysis and consistency checks of macroeconomic indicators.

Support the preparation of datasets for forecasting models, including dynamic factor models, BVARs and machine‑learning‑based approaches. Qualifications Strong interest in applied macroeconomics, economic forecasting, data science and empirical research.

Experience with statistical software such as R , Python and/or Matlab (a strong desire to develop these skills is expected). Enrolled at a Swiss university and willing to work between 1 and 2 days per week (15 h). Flexible working environment : opportunities for flexible hours and a supportive learning environment.

Professional development : support for training and further education initiatives. Application Submit your application by 24 July 2026 via the online application portal. Include the following documents: Transcript of records of studies up to date or graduation records. Applications submitted through email or postal mail will not be considered.

Questions (no applications) may be directed to KOF HR at hr@kof.ethz.ch . Job details Title: Student Assistant in Macroeconomic Forecasting and Data Science #J-18808-Ljbffr