Carnegie Mellon University · 1 day ago
Postdoctoral Research Associate - Print & Probability Project - Dietrich College
Pittsburgh, PA
Full-time
Onsite
Senior LevelCarnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. The Print & Probability project is seeking a Postdoctoral Research Associate to develop AI methods for identifying printers of anonymous early modern books, integrating large language models with computer vision to uncover hidden networks of controversial printing during censorship.
EducationHigher EducationUniversities
Responsibilities
Develop LLM-driven knowledge graphs that construct probabilistic historical priors from bibliographic records, trial transcripts, censorship lists, and apprenticeship data
Design agentic frameworks using In-Context Learning and Chain-of-Thought prompting for transparent historical inference
Develop Historical Hypotheses in collaboration with (other) expert humanists and book historians
Integrate top-down LLM hypotheses with established bottom-up vision pipeline (existing: dhSegment/Eynollah line extraction, damage detection models, 280M+ character image database)
Assist in original research on clandestine printing networks using computational tools
Contribute to publications in both AI and humanities venues (machine learning conferences and book history journals)
Contribute to open-source tools and datasets for the research community
Qualification
Required
PhD in Computer Science, Computational Linguistics, Digital Humanities, Computational Cultural Studies, History, or related field
Demonstrated expertise with large language models (fine-tuning, prompting, deployment)
Strong Python programming with deep learning frameworks (PyTorch, TensorFlow)
Experience with unstructured historical data (text extraction, entity resolution, knowledge graphs)
Excellent communication skills and commitment to interdisciplinary collaboration
Evidence of scholarly productivity (publications, presentations, software)
Preferred
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
A combination of education and proven experience from which comparable knowledge is demonstrated may be considered
Benefits
Comprehensive medical, prescription, dental, and vision insurance
Generous retirement savings program with employer contributions
Tuition benefits
Ample paid time off
Observed holidays
Life and accidental death and disability insurance
Free Pittsburgh Regional Transit bus pass
Access to our Family Concierge Team to help navigate childcare needs
Fitness center access
Company
Carnegie Mellon University
Carnegie Mellon University is a private research university that offers degrees in technology, arts, and various other fields.
Founded in 1900
5001-10000 employees
H1B Sponsorship
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Funding
Current Stage
Late StageTotal Funding
$488.58MKey Investors
ICANNAppalachian Regional CommissioneBPF Foundation
2025-05-29Grant· $0.45M
2024-09-05Grant· $0.5M
2024-08-29Grant· $0.05M
Leadership Team
Angela Blanton
Vice President for Finance and Chief Financial Officer
Amy Coutu
Assistant Vice President, Enterprise Applications
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