Research Assistant, CS & Law for AI & Data

1000scholars

Zürich

Hybrid

CHF 34.000 - 48.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Central location in Zurich
English-speaking working environment
Flexible 10-15 hours per week

Zusammenfassung

ETH Zurich's Center for Law & Economics seeks student research assistants in Computer Science & Law to support interdisciplinary projects at the intersection of data science, AI, law, and economics. Positions are 10%-20% time, Zurich, fixed-term, open to undergrads and grads.

You will work on Web Data, NLP & LLM Pipelines and Computer Vision & Visual Data Analysis, using Python, SQL, NLP methods, LLM APIs, Docker, Linux, and Git. English is the working language; offices in Zurich center.

Qualifikationen

  • Experience with Python, web scraping, and SQL (NLP, LLM pipelines, and Docker a plus).
  • Experience with Linux, Git, and data quality/reproducibility emphasized.

Aufgaben

  • scraping and extracting web content and maintaining reproducible data-collection pipelines
  • interacting with LLM APIs (e.g., OpenAI, OpenRouter)
  • storing, querying, cleaning, and validating data using SQL/PostgreSQL
  • applying NLP, statistical methods, and LLM-based approaches to textual data
  • deploying and maintaining research code on Linux virtual machines
  • processing and analyzing large image collections and associated metadata
  • using image embeddings, similarity search, clustering, and multimodal models
  • identifying identical, similar, or related images across large datasets
  • evaluating computational methods and visualizing resulting patterns

Kenntnisse

Python
Web scraping
SQL
NLP
LLM pipelines
Docker
PyTorch
OpenAI API
OpenRouter API
Git

Tools

Docker
PostgreSQL
OpenAI API
OpenRouter API
Linux VM

Jobbeschreibung

ETH Zurich's Center for Law & Economics seeks student research assistants in Computer Science & Law to support interdisciplinary projects at the intersection of data science, AI, law, and economics. Positions are 10%-20% time, Zurich, fixed-term, open to undergrads and grads.

You will work on Web Data, NLP & LLM Pipelines and Computer Vision & Visual Data Analysis, using Python, SQL, NLP methods, LLM APIs, Docker, Linux, and Git. English is the working language; offices in Zurich center.

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