Student Assistant at KOF Swiss Economic Institute (Inequality and Public Economics) 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 at different levels and in different functions and is committed to rigorous, applied research on policy-relevant topics with a connection to Switzerland.
You will work on an ongoing research project on intergenerational mobility in Switzerland which addresses questions of social mobility across multiple dimensions. In particular, the project examines income mobility and related outcomes across generations, focusing on differences by gender, career trajectories, and perceptions and beliefs about intergenerational mobility. The project is led by Dr. Isabel Z. Martínez and is based on rich administrative and survey data from Switzerland.
The position offers the opportunity to gain insight into rigorous empirical research and to contribute actively to the day-to-day work of a research team.
Your tasks include:
Support in general research activities related to intergenerational mobility in Switzerland
Analyzing data primarily using the statistical software Stata
Conducting cluster analysis in Python or R
Conducting literature searches and summarising relevant academic research
Assisting with the design, implementation, and evaluation of internal surveys
The preferred starting date for this position is March 2026, with some flexibility for a later starting date.
Profile We are looking for a highly motivated team member who is interested in gaining insight into applied empirical research.
Strong interest in applied microeconomic research, particularly in inequality and intergenerational mobility in Switzerland
Completed bachelor’s degree (or close to completion) or ongoing master’s degree in economics or another quantitative social science, with substantial coursework or formal training in data science/econometrics
Basic knowledge of the statistical software package Stata and a strong willingness to further develop methodological skills
Basic knowledge of Python or R and a demonstrated interest in machine learning methods, particularly with respect to cluster analysis
Fluency and excellent writing skills in English
Knowledge of German and/or French is an advantage
You must be enrolled at a Swiss University and willing to work on-site at KOF between 1 to 2 days per week (max. 15h per week during the semester). 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. During the semester break it is possible to work up to 41h per week.
We offer Highly collaborative work environment: you will be working closely with the project team
Your job with impact: become part of ETH Zurich, which not only supports your professional development, but also actively contributes to positive change in society
Curious? So are we. We look forward to receiving your online application with the following documents:
Transcript of records of studies up to date or graduation records
An estimation of your ability and skills separately for Stata, Python, and R on a scale from 1 (beginner) to 5 (proficient)
At least two writing samples (e.g., a semester, seminar, or Bachelor's thesis)
Please submit your application by February 20, 2026. The position will remain open until filled. Applications are accepted exclusively 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 (hr@kof.ethz.ch ).
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