Research Associate 2 MS (24)

This time-limited research position investigates how descriptive metadata can be derived from machine-generated text produced by handwritten text recognition (HTR) and optical character recognition (OCR) applied to digitized library and archival materials. The role involves testing entity extraction and resolution methods, analyzing descriptive output against bibliographic standards, and documenting findings to assess the viability of AI models in cultural heritage contexts. Work is conducted under the direction of a supervisor in partnership with the Metadata Services Unit and Digital Collections and Access.