Bridge to the Faculty Research Scholar and Digital Scholarship Librarian
University of Illinois at Chicago Job Location: Illinois Apply By: 01/29/2021 Date Created: 12-10-2020
- Implement digital scholarship and data science services based on the needs of faculty, researchers, and students.
- Partner with faculty, students, and other researchers to create effective, innovative, and sustainable digital scholarship projects.
- Provide guidance and project support to faculty and students on software and tools such as data analysis and visualization, GIS, text mining, text-encoding, digitization and imaging, metadata creation, or social network analysis.
- Develop and conduct training, group instruction, and workshops, both individually and collaboratively, on digital scholarship / data science research methods, tools, platforms, and best practices.
- Collaborate with other units on campus to organize lectures, seminars, and other events on digital scholarship.
- Maintain awareness of emerging and evolving technology, trends, tools, methods, and initiatives in digital scholarship.
- Evaluate existing and emerging tools and technologies to inform decision-making around technology and platform support, and to identify potential uses in humanities and/or social science research. Prototype demonstration projects and/or implement tools for use by others.
- Support the work of liaison librarians working with classes that have a digital scholarship component.
- Contribute to the knowledge base of the profession through research, publication, and professional engagement in line with a tenured faculty appointment.
- Participate in library, university, and professional service activities.
- The successful candidate must have completed their ALA Accredited MLIS within the past 5 years – no earlier than August 15, 2017 and no later than August 15, 2021.
- At least one year of experience in an academic or research setting in one or more of the following areas, as they relate to digital scholarship: data science, data mining and visualization, text mining and analysis, natural language processing, human computer interaction, GIS related applications and tools.
- Knowledge in the use and application of digital scholarship, digital humanities, or data science tools, technologies, and methods.
- Understanding of current trends and methodologies in digital scholarship, data science, and scholarly communication.
- Demonstrated commitment to and support for a culture of diversity, equity, and inclusion.
- Knowledge of research processes and the role of data within contemporary research and scholarship.