Postdoctoral Research Associate - Print & Probability Project - Dietrich College

Carnegie Mellon University

Pittsburgh, PA, United States
Llm-driven knowledge graphs
Agentic frameworks
In-context learning
The Print & Probability project seeks a Postdoctoral Research Associate to develop AI methods for identifying printers of anonymous early modern books (1450-1800)

Job Summary

  • The Print & Probability project seeks a Postdoctoral Research Associate to develop AI methods for identifying printers of anonymous early modern books (1450-1800).
  • Core responsibilities include developing LLM-driven knowledge graphs, designing agentic frameworks, and integrating top-down LLM hypotheses with established bottom-up vision pipelines.
  • Joining the CMU team opens the door to an array of exceptional benefits, including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions.

Matching Summary

The Print & Probability project seeks a Postdoctoral Research Associate to develop AI methods for identifying printers of anonymous early modern books (1450-1800).

Skills & Requirements

Must-have

  • LLM-driven knowledge graphs
  • agentic frameworks
  • In-Context Learning
  • Chain-of-Thought prompting
  • computational tools
  • AI and humanities venues

Nice-to-have

  • adaptability, excellence, and passion
  • interdisciplinary learning
  • practical problem solving
  • transformative spirit
  • collaboration

Key Requirements

  • PhD in Computer Science, Computational Linguistics, Digital Humanities, Computational Cultural Studies, History, or related field
  • Demonstrated expertise with large language models
  • Strong Python programming with deep learning frameworks
  • Experience with unstructured historical data
  • Excellent communication skills
  • Evidence of scholarly productivity

Work Rights

Must be legally authorized to work for CMU in the United States

Tailored Resume

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