Interdisciplinary Research Assistant: AI, Law & Data Science

ETH Zürich; Zürich; Vor Ort; CHF 24.000 - 32.000; Vollzeit

Benefits dieser Stelle

Office in Zurich city center

English working language

Independent technical implementation

Zusammenfassung

ETH Zürich's Center for Law & Economics invites student researchers to join projects at the intersection of data science, AI, law, and economics. You will work on web data collection, NLP, and LLM pipelines, or on computer vision and visual data analysis, contributing to interdisciplinary research with a focus on reproducible workflows.

You will collaborate with legal and economics scholars, using Python, NLP, and ML tools, with Linux-based deployments and Git/version control, while dedicating

Qualifikationen

• Experience with Python, web scraping, and SQL is required.
• Familiarity with NLP, LLM pipelines, and Docker is a plus.
• Experience with Linux and Git is essential.

Aufgaben

• Develop web data pipelines to scrape, store, validate, and reproduce data.
• Interact with LLM APIs and manage research code on Linux VMs.
• Explore computer vision methods, embeddings, clustering, and multimodal models.

Kenntnisse

Python

Web scraping

SQL

Linux

Git

NLP

LLM pipelines

Tools

Docker

PyTorch

OpenCV

Vector similarity search

Jobbeschreibung

ETH Zürich's Center for Law & Economics invites student researchers to join projects at the intersection of data science, AI, law, and economics. You will work on web data collection, NLP, and LLM pipelines, or on computer vision and visual data analysis, contributing to interdisciplinary research with a focus on reproducible workflows.

You will collaborate with legal and economics scholars, using Python, NLP, and ML tools, with Linux-based deployments and Git/version control, while dedicating