Junior Researcher: Tax Policy & Globalization Analytics

ETH Zurich

Zürich

On-site

CHF 42,000 - 66,000

Part time

14 days+

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Benefits offered by this job

ETH benefits
ASVZ sports

Job summary

ETH Zurich's KOF Swiss Economic Institute invites applications for a Junior Researcher (70%) to support a SNSF-funded project on taxation in a globalized economy. The role focuses on preparing and analyzing micro-data, descriptive analyses, and empirical work, with opportunities to contribute to workshop organization and scholarly output.

The successful candidate holds a master's degree in economics or quantitative social science and has strong skills in causal inference, Stata, and R, with

Qualifications

  • Completed master's degree in economics, political science, or other quantitative social science.
  • Genuine interest in policy-relevant questions in taxation and public economics.
  • Solid foundations in causal inference methods (DiD, IV, RCTs).
  • Proficiency in Stata and/or R; data cleaning/management experience is a plus.
  • Good written and spoken German and English.

Responsibilities

  • Prepare and manage linked micro-level datasets, perform quality checks.
  • Conduct descriptive analyses of administrative and survey data.
  • Run guided empirical analyses using causal inference methods.
  • Prepare slides and research materials; assist in organizing an academic workshop.

Skills

Master's degree
Causal inference
Stata
R
German language
English language

Education

Master's degree in economics or quantitative social science

Tools

Stata
R

Job description

ETH Zurich's KOF Swiss Economic Institute invites applications for a Junior Researcher (70%) to support a SNSF-funded project on taxation in a globalized economy. The role focuses on preparing and analyzing micro-data, descriptive analyses, and empirical work, with opportunities to contribute to workshop organization and scholarly output.

The successful candidate holds a master's degree in economics or quantitative social science and has strong skills in causal inference, Stata, and R, with

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