Graduate Research Assistant

The Institute for Public & Social Research is seeking a master’s student to serve as a Graduate Research Assistant on an interdisciplinary project developing a humanities-centered large language model prototype for art-historical research.

The project is developing a functional prototype grounded in a bilingual cultural database curated and interpreted by art historians. The database includes oral-history interviews, archival documents, visual materials, scholarly research, and structured metadata on three generations of women print makers in the Yoshida family:
Fujio, Chizuko, and Ayomi Yoshida.

Rather than relying primarily on general-purpose training data, the prototype will use a carefully documented collection of domain-specific materials that reflect expert knowledge of Japanese woodblock printmaking, gender, artistic labor, and transnational circulation. The system will enable researchers, students, educators, and members of the public to ask questions about the Yoshida women and receive responses grounded in identifiable source materials. The prototype will also provide a foundation for usability testing.

The proof-of-concept prototype will then be used to apply for external funding to build a future system for educators, students, and the public.

The Graduate Research Assistant will work closely with faculty investigators, art historians, and technical collaborators. The position will involve independent research, data curation, support for prototype development, evaluation design, documentation, and coordination across the project’s humanities and technical components. For this task, the student will work directly with EECS and I2S faculty members to complete this part of the project.

35% - Research and Data Curation

• Prepare, clean, structure, and document bilingual research materials for use in the prototype.
• Review oral-history interviews, archival documents, visual materials, scholarly publications, and structured metadata for accuracy, consistency, and completeness.
• Develop and maintain documentation connecting project data to its original sources.
• Identify gaps, inconsistencies, duplication, and potential biases within the project database.
• Assist with the development of metadata standards, controlled vocabularies, taxonomies, and data-governance procedures.
• Apply project protocols to protect sensitive oral history, archival, and culturally significant materials.

• Collaborate with technical team members on the development of a retrieval-augmented generation or comparable prototype architecture.
• Define representative research questions, user scenarios, and evaluation criteria in consultation with art-history experts.
• Develop structured test sets for assessing prototype performance.
• Evaluate model responses for factual accuracy, source fidelity, bilingual functionality, interpretive usefulness, and appropriate attribution.
• Analyze hallucinations, citation errors, translation problems, omissions, and failures to preserve historical or cultural context.
• Assess the prototype’s ability to distinguish documented evidence from scholarly interpretation.
• Recommend revisions to prompts, retrieval procedures, metadata, source documentation, or evaluation methods based on testing results.
• Maintain systematic records of testing methods, findings, and prototype revisions.

• Participate in regular research-team meetings and provide progress updates.
• Help maintain project timelines, shared documentation, data inventories, and testing records.
• Communicate technical findings clearly to humanities researchers and communicate art-historical requirements clearly to technical collaborators.

• Graduate-level research experience in computer science and related fields, as evidenced by application materials.
• Demonstrated ability to conduct independent scholarly research, as evidenced by application materials.
• Strong analytical writing and communication skills, as evidenced by application materials.
• Professional experience which required strong organizational skills and attention to detail, as evidenced by application materials.
• Demonstrated ability to manage multiple research tasks and meet project deadlines, as evidenced by application materials.

• Experience preparing structured data for computational research, as evidenced by application materials.

During the semester term of the…