Stanford University Libraries’ Research Data Services is seeking an experienced, technically-adept, forward-thinking library professional to both lead and directly contribute programming effort to our new AI Modeling & Inference group. This role manages two Digital Scholarship Research Developers, leading a group with significant accomplishments in digital humanities projects. . . .
This role is a member of the management team in Research Data Services, a patron-facing group at Stanford University Libraries supporting geospatial research data, research data curation, data infrastructure, and academic data support. Due to the relevance of modeling & inference across many domains, we expect this position to play a crucial role in articulating AI research methods across other parts of RDS. Examples of this might include text recognition on historic maps, vector-space models for reconciling text in a curation context, or re-training Large Language Models on specific historic or literary corpora.
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