Student Assistant in Macroeconomic Forecasting and Data Science The KOF Swiss Economic Institute at ETH Zurich is the leading institute for applied research in economics in Switzerland.
KOF has a strong collaborative environment that promotes exchange between research and administrative staff across different levels and functions and is committed to rigorous, applied research on policy‑relevant topics with a connection to Switzerland.
Project background For the KOF Research Division
Macroeconomic Forecasting and Data Science , we are seeking 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.
Job description We are looking for individuals with a strong interest in applied macroeconomics, economic forecasting, data science, and empirical research. The main task will be to support the collection, cleaning, harmonisation, and documentation of macroeconomic data. Depending on skills and interests, the position may also involve contributing to the construction of the reanalysis dataset, reproducible data pipelines, descriptive analysis, and forecasting‑related tasks.
Prior experience in handling and analysing data using statistical software packages such as
R ,
Python , and/or
Matlab
is desired. A strong interest and drive in developing these skills is expected.
Your tasks may include:
Collecting macroeconomic data from public statistical offices, central banks, international organisations, and data providers such as Macrobond
Research on the availability of real‑time data vintages, release calendars, publication lags, variable definitions, and data revisions
Cleaning, harmonising, transforming, and documenting macroeconomic time series across countries, sectors, regions, and frequencies
Supporting the creation of a reproducible macroeconomic reanalysis dataset, including metadata, transformation codes, and versioning routines
Building and maintaining data acquisition routines, including APIs, web scraping, and automated downloads where feasible
Conducting descriptive analysis and consistency checks of macroeconomic indicators
Supporting the preparation of datasets for forecasting models, including dynamic factor models, BVARs, and machine‑learning‑based approaches.
Profile You must be enrolled at a Swiss University and willing to work between 1 to 2 days per week (15h). At KOF, working time is typically handled very flexibly such that you can take time to study for exams or fulfill other obligations for your studies while coordinating with the research staff at KOF when tasks need to be completed.
Workplace Zurich, fixed‑term, 20%–30%
We offer A comprehensive benefits package:
Health benefits : discounts on health‑related services
Flexible working environment : opportunities for flexible working hours and a supportive learning environment
Professional development : support for training and further education initiatives
We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.
Curious? So are we. We look forward to receiving your online application
until 24 July 2026
with the following documents:
Cover letter (short)
Curriculum vitae
Transcript of records of studies up to date or graduation records
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position (no applications) should be directed to KOF HR at hr@kof.ethz.ch.
#J-18808-Ljbffr
KOF has a strong collaborative environment that promotes exchange between research and administrative staff across different levels and functions and is committed to rigorous, applied research on policy‑relevant topics with a connection to Switzerland.
Project background For the KOF Research Division
Macroeconomic Forecasting and Data Science , we are seeking 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.
Job description We are looking for individuals with a strong interest in applied macroeconomics, economic forecasting, data science, and empirical research. The main task will be to support the collection, cleaning, harmonisation, and documentation of macroeconomic data. Depending on skills and interests, the position may also involve contributing to the construction of the reanalysis dataset, reproducible data pipelines, descriptive analysis, and forecasting‑related tasks.
Prior experience in handling and analysing data using statistical software packages such as
R ,
Python , and/or
Matlab
is desired. A strong interest and drive in developing these skills is expected.
Your tasks may include:
Collecting macroeconomic data from public statistical offices, central banks, international organisations, and data providers such as Macrobond
Research on the availability of real‑time data vintages, release calendars, publication lags, variable definitions, and data revisions
Cleaning, harmonising, transforming, and documenting macroeconomic time series across countries, sectors, regions, and frequencies
Supporting the creation of a reproducible macroeconomic reanalysis dataset, including metadata, transformation codes, and versioning routines
Building and maintaining data acquisition routines, including APIs, web scraping, and automated downloads where feasible
Conducting descriptive analysis and consistency checks of macroeconomic indicators
Supporting the preparation of datasets for forecasting models, including dynamic factor models, BVARs, and machine‑learning‑based approaches.
Profile You must be enrolled at a Swiss University and willing to work between 1 to 2 days per week (15h). At KOF, working time is typically handled very flexibly such that you can take time to study for exams or fulfill other obligations for your studies while coordinating with the research staff at KOF when tasks need to be completed.
Workplace Zurich, fixed‑term, 20%–30%
We offer A comprehensive benefits package:
Health benefits : discounts on health‑related services
Flexible working environment : opportunities for flexible working hours and a supportive learning environment
Professional development : support for training and further education initiatives
We value diversity and sustainability In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future.
Curious? So are we. We look forward to receiving your online application
until 24 July 2026
with the following documents:
Cover letter (short)
Curriculum vitae
Transcript of records of studies up to date or graduation records
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Questions regarding the position (no applications) should be directed to KOF HR at hr@kof.ethz.ch.
#J-18808-Ljbffr
Student Assistant in Macroeconomic Forecasting and Data Science Arbeitgeber: Immigration Policy Lab
Die Immigration Policy Lab in Zürich ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und unterstützenden Umfeld zu arbeiten. Unsere Forschungsstation Früebüel fördert nicht nur Ihre berufliche Weiterentwicklung durch gezielte Schulungen und Workshops, sondern bietet auch attraktive Vorteile wie ÖV-Abonnemente und Car Sharing, um Ihre Work-Life-Balance zu unterstützen. Werden Sie Teil eines engagierten Teams, das sich leidenschaftlich für innovative landwirtschaftliche Lösungen einsetzt.
