Lab Research Manager

Department Summary

Directed by Professor Todd Presner (UCLA), the purpose of the lab is to develop and apply computational methods of analysis to expand how we read, hear, and analyze Holocaust and genocide testimonies. Dr. Presner directs an interdisciplinary digital humanities lab focused on exploring how computational methods and DH tools can be used to ask new questions about Holocaust history and memory. The visualizations published on this site, developed by lab members over the past few years, are part of the book Ethics of the Algorithm : Digital Humanities and Holocaust Memory (Princeton University Press, 2024). As part of Dr. Presner’s research and teaching in UCLA’s Digital Humanities program and Department of European Languages and Transcultural Studies, he directs an interdisciplinary digital humanities lab focused on exploring how computational methods and DH tools can be used to ask new questions about Holocaust history and memory. Digital Humanities research : The lab applies and develops text analysis tools used in computational linguistics (spaCy and BERT for Natural Language processing), PRAAT and SPEK for phonetic and speech analysis, network visualization and data analysis tools such as Tableau and Neo4j, as well as custom-developed, rule-based algorithms for “semantic triplet” extraction and experimental, machine learning processes for text disambiguation, indexing, and search. Cultural Heritage and AI research : The lab’s current research investigates how AI (mostly Large Language Models) can be used in ethical and responsible ways to analyze cultural repositories (digitized museum collections and digital archives / libraries). This research includes the use of LLMs to enhance metadata and indexing, create contextual information, and develop knowledge graphs. The lab is also using LLMs to re-imagine the extraction and characterization of semantic triplets.

Position Summary

The Lab Research Manager plays a critical role in supporting interdisciplinary digital humanities research, with a focus on the ethical application of AI and computational methods to Holocaust and genocide testimonies, as well as the analysis of historical and cultural repositories such as digitized museum collections, digital archives, and historical libraries. This position oversees research operations, grant development, data analysis, data write-ups, and publication management. It involves deploying and integrating AI tools into research workflows, ensuring that computational methods are efficient, reproducible, and accessible to interdisciplinary researchers. A key aspect of this role is designing and optimizing ML environments, automating computational workflows, and ensuring high-performance computing accessibility for AI-driven research. In addition to executing the research goals of the lab, this role involves coordinating teams through structured workflows and weekly meetings, ensuring clear project milestones, resource allocation, and continuous research momentum. The Lab Research Manager also serves as a bridge between institutional partners, faculty and students, facilitating seamless onboarding, mentorship, and cross-functional collaboration to enhance technical proficiency and computational research capabilities. Success in this role requires strengths in project management, mixed-methods research, writing and documentation, collaborative workflow design, and grant development. The Lab Research Manager ensures smooth operations, supports faculty and student researchers, and enhances the lab's capacity to conduct rigorous, ethical, and impactful research on AI and cultural heritage.

Salary & Compensation

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Qualifications

Education, Licenses, Certifications & Personal Affiliations

Special Conditions for Employment

Schedule

8 : 00am to 5 : 00pm

Union / Policy Covered

99-Policy Covered

Complete Position Description

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