Your role:

• Work with blockchain data providers (e.g., Dune Analytics) and help evaluate and select the most suitable data infrastructure for the project.
• Build and maintain datasets from Ethereum blockchain data (e.g., Uniswap V2/V3 swaps).
• Implement and validate detection algorithms for sandwich (front-running) attacks.
• Process and structure large datasets (Python, SQL, or similar tools).
• Conduct preliminary empirical analyses and data visualizations.
• Assist with documentation and reproducible research workflows.

Compensation:
Compensation for this short-term position is based on the cantonal salary scales (Klasse F6/F7).

Application Deadline:
Review of applications will start immediately and continue until the position is filled. For further information about this position, please contact Prof. Samuel Häfner ( samuel.haefner@unisg.ch )

Qualifications:

• Current Master's student in Economics, Data Science, Computer Science, or a related field (strong Bachelor's candidates may be considered).
• Strong programming skills (Python or similar required; SQL experience is a plus).
• Interest in empirical economics, market design, or financial markets.
• Experience with data handling and analysis.
• Blockchain / DeFi experience is a plus.
• Careful, reliable, and interested in research.

We particularly encourage applications from women and members of underrepresented groups

Location & workload:
The position is based at the University of St. Gallen, Switzerland. Students from nearby Swiss universities are welcome to apply (expect to commute to St.Gallen at least twice per month). The employment rate is 20–30%. The duration is approximately 9-12 months (starting as soon as possible).

How to apply:
Applications should include a cover letter, a curriculum vitae, and copies of grade transcripts and certificates. In the cover letter, briefly describe your research interests, your motivation for joining the project, and how your background fits the position. Applications will be reviewed on a rolling basis until the position is filled.