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 . The position is available
as soon as possible
for an initial duration of
six months . 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. 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). Benefits
Health benefits : discounts on health‑related services. 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
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 . The position is available
as soon as possible
for an initial duration of
six months . 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. 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). Benefits
Health benefits : discounts on health‑related services. 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
Student Assistant in Macroeconomic Forecasting and Data Science Arbeitgeber: Karlstad University
Die AG Ferrari bietet eine inspirierende Forschungsumgebung, in der Sie an der molekularen Physiologie der Photosynthese arbeiten können. Unser internationales Team ist hochmotiviert und fördert eine offene, kollaborative Arbeitskultur, die Raum für persönliche und berufliche Weiterentwicklung bietet. Mit einem Arbeitsplatz im malerischen Botanischen Garten München-Nymphenburg profitieren Sie von modernen Laboren und einer Vielzahl an Ressourcen, um Ihre Forschungsergebnisse in renommierten Fachzeitschriften zu veröffentlichen und auf nationalen sowie internationalen Konferenzen zu präsentieren.
