Print and Probability Research Associate

Responsibilities

• Develop LLM-driven knowledge graphs to construct probabilistic historical priors from bibliographic records, trial transcripts, and censorship lists
• Design agentic frameworks using In-Context Learning and Chain-of-Thought prompting for transparent historical inference
• Integrate top-down LLM hypotheses with existing bottom-up computer vision pipelines
• Collaborate with expert humanists and book historians to develop historical hypotheses
• Assist in original research on clandestine printing networks using computational tools
• Contribute to publications in both AI and humanities venues, including machine learning conferences and book history journals
• Contribute to open-source tools and datasets for the research community

Requirements

• Master's degree
• 1-3 years of research experience
• Demonstrated expertise with large language models (fine-tuning, prompting, deployment)
• Strong Python programming skills with deep learning frameworks (PyTorch, TensorFlow)
• Experience working with unstructured historical data (text extraction, entity resolution, knowledge graphs)
• Excellent communication skills and a commitment to interdisciplinary collaboration
• Evidence of scholarly productivity (publications, presentations, or software)

Preferred Qualifications

• Knowledge of early modern European history (1450-1800) or book history
• Experience with historical bibliography or archival research
• Familiarity with computer vision for document analysis
• Multilingual reading ability (e.g., English, Latin, French, Spanish, Italian, Dutch)
• Publication record in digital humanities or computational social science

Benefits

• Comprehensive medical, prescription, dental, and vision insurance
• Generous retirement savings program with employer contributions
• Tuition benefits
• Ample paid time off and observed holidays
• Life, accidental death, and disability insurance
• Free Pittsburgh Regional Transit bus pass
• Access to fitness center and Family Concierge Team

About the Company

Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Dietrich College is home to 11 humanities and sciences departments, programs, and institutes where world-class faculty and students work across areas to investigate and solve real-world problems.