Student Assistant at KOF Swiss Economic Institute (Inequality and Public Economics)

Part-time Position: 20%-30%, Zurich, Fixed-term

The Inequality and Public Economics section at KOF Swiss Economic Institute is seeking a dedicated Student Assistant (30%).

The KOF Swiss Economic Institute at ETH Zurich is the leading institute for applied research in economics in Switzerland. Renowned for its collaborative environment, KOF promotes dialogue between research and administrative staff across various levels and functions. We are committed to conducting rigorous, policy-relevant research that connects with Switzerland's economic landscape.

Job Description

In this role, you will contribute to an ongoing research project focused on intergenerational mobility in Switzerland, investigating social mobility through various dimensions. This includes analyzing income mobility and related outcomes across generations, with a specific emphasis on gender differences, career trajectories, and perceptions of intergenerational mobility. The project is led by Dr. Isabel Z. Martínez and utilizes extensive administrative and survey data from Switzerland.

This position offers a valuable opportunity to gain insights into empirical research and actively contribute to the daily operations of a research team.

Your Tasks Include:

• Supporting general research activities related to intergenerational mobility in Switzerland
• Analyzing data primarily using the statistical software Stata
• Conducting cluster analysis using Python or R
• Executing literature searches and summarizing relevant academic research
• Assisting with the design, implementation, and evaluation of internal surveys

The preferred starting date for this position is March 2026, with the possibility of a later start date.

Profile

We are looking for a highly motivated individual interested in gaining experience in applied empirical research. Ideal candidates will possess:

• A strong interest in applied microeconomic research, particularly in inequality and intergenerational mobility in Switzerland
• A completed bachelor’s degree (or nearing completion) or ongoing master’s degree in economics or another quantitative social science, with significant coursework or formal training in data science/econometrics
• Basic knowledge of the statistical software Stata and a strong willingness to enhance methodological skills
• Basic knowledge of Python or R and an demonstrated interest in machine learning methods, especially related to cluster analysis
• Fluency and excellent writing skills in English
• Knowledge of German and/or French is an advantage

Applicants must be enrolled at a Swiss university and be willing to work on-site at KOF for 1 to 2 days per week (maximum of 15 hours weekly during the semester). At KOF, we offer flexible working hours, allowing you to balance your responsibilities with your studies. During semester breaks, it is possible to work up to 41 hours per week.

Workplace

Join a dynamic and supportive workplace where your contributions will make a difference.

We Offer

• A highly collaborative work environment where you will work closely with the project team
• A role with impactful contributions to ETH Zurich, not only supporting your professional development but also facilitating positive societal change
• Numerous benefits, including public transport season tickets, car-sharing options, a wide range of sports offered by ASVZ, childcare support, and attractive pension benefits

We Value Diversity and Sustainability

ETH Zurich encourages an inclusive culture that fosters equality of opportunity, values diversity, and promotes a working and learning environment where the rights and dignity of all staff and students are respected. We uphold sustainability as a core value, striving towards a climate-neutral future.

Curious? So Are We.

We look forward to receiving your online application using the form below. Please include the following documents:

• Cover letter (short)
• Curriculum vitae
• Transcript of records or graduation records
• An estimation of your abilities and skills in 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 apply by February 20, 2026. Only applications matching the job profile will be considered. Further information about KOF Swiss Economic Institute can be found on our website. Questions regarding the position (not applications) should be directed to KOF HR at hr@kof.ethz.ch.

About ETH Zurich

ETH Zurich is one of the world's leading universities specializing in science and technology. We are renowned for our exceptional education, groundbreaking fundamental research, and our commitment to translating new knowledge into societal benefits. With over 30,000 individuals from more than 120 countries, our university fosters independent thinking in an environment that inspires excellence. Located in the heart of Europe, we collaborate with global partners to develop solutions for the pressing challenges of today and tomorrow.