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Apply Machine Learning and NLP Techniques to Declassified Documents

Columbia University

Eligibility

Undergraduate Only

Accepts Applications Until

Dec 20, 2025

Project Duration

Flexible

Description

Student researchers will apply machine learning and NLP techniques to large (>3 million) corpora of declassified documents. We will be working on a RAG system for LLMs using the documents. We are also looking for a student to assist with enhancing and maintaining a Columbia Sites website (Drupal-based CMS).

Required Skills

The role requires a keen interest in History, and previous website development experience is preferred. Knowledge of Python, SQL, interest in international history

Additional Information

Hours per week: 10

Compensation

Research Credit

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