Research Assistant, Data Science for Law & AI

Eidgenössische Technische Hochschule Zürich; Zürich; Vor Ort; CHF 34.000 - 48.000; Vollzeit

Zusammenfassung

ETH Zurich's Center for Law & Economics invites motivated students to assist on interdisciplinary research in data science, AI, and law. You’ll handle large web/text datasets, develop computational tools, and explore NLP, LLMs, and computer vision.

The role emphasizes reliable code, reproducible workflows, and collaboration with legal and economics scholars. Ideal candidates are enrolled at a university in Zurich, can commit 10–15 hours per week during term, and bring Python, web scraping, and

Qualifikationen

• Registered student at a university in Zurich or nearby.
• Experience with Python, web scraping, and SQL is expected.
• Exposure to NLP, LLM pipelines, LLM APIs, and Docker is a plus.
• Experience with Linux and Git is essential; data visualization is a plus.

Aufgaben

• Scrape and extract web content and maintain reproducible data pipelines.
• Interact with LLM APIs (e.g., OpenAI, OpenRouter) for research tasks.
• Store, query, clean, and validate data using SQL/PostgreSQL.
• Apply NLP and statistical methods to textual data.
• Deploy and maintain research code on Linux virtual machines.
• Contribute to computer vision projects with image processing tasks.

Kenntnisse

Python

Web scraping

SQL

Linux

Git

Problem solving

Data analysis

Docker

Tools

PyTorch

OpenCV

Docker

PostgreSQL

Jobbeschreibung

ETH Zurich's Center for Law & Economics invites motivated students to assist on interdisciplinary research in data science, AI, and law. You’ll handle large web/text datasets, develop computational tools, and explore NLP, LLMs, and computer vision.

The role emphasizes reliable code, reproducible workflows, and collaboration with legal and economics scholars. Ideal candidates are enrolled at a university in Zurich, can commit 10–15 hours per week during term, and bring Python, web scraping, and