Scholars Lab Graduate Student Technician

About Utaustin

The University of Texas Libraries advances teaching, catalyzes research, and democratizes learning in order to develop critical thinkers and global citizens. As an essential campus partner in building a rich research and learning ecosystem, we are committed to creating and sustaining a community that welcomes and respects all individuals, celebrates different perspectives and experiences, and fosters belonging. To learn more about UT Libraries, please visit our website: https://www.lib.utexas.edu/

Job Summary

The Scholars Lab Graduate Student Technician supports the UT Libraries Scholars Lab through providing research support services and providing excellent customer service to Scholars Lab users. This position offers valuable experience by supporting the research enterprise of digital humanities and digital scholarship. It offers applicants work experience and relevant training that can benefit various career pursuits where digital tools and data skills are essential.

Key Responsibilities

• Staff reception desk in Scholars Lab
• Support users who need help using technology in the Scholars Lab
• Participate in assessment of Scholars Lab initiative
• Support events taking place in the Scholars Lab
• Manage communication of events such as social media posts and newsletters
• Contribute to a wide range of library digital projects, for example digital exhibits, data curation for project work
• Assist with workshops on digital scholarship tools for library workshop series, such as Data and Donuts and the Digital Humanities Workshop Series
• Answer email requests and provide consultation support to Scholars Lab users

Required Qualifications

• Current, degree-seeking UT graduate student enrolled in 6 or more credits during the fall 2025 semester
• Student must be in good academic standing
• Customer service skills
• Desire to learn
• Ability to communicate effectively in person and in multiple media
• Excellent organizational skills and attention to detail
• Relevant education and experience may be substituted as appropriate

Preferred Qualifications

• Experience with any of the following: scripting languages, data visualization