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Digital Humanities Initiative

The CUNY Digital Humanities Initiative (CUNY DHI), launched in Fall 2010, aims to build connections and community among those at CUNY who are applying digital technologies to scholarship and pedagogy in the humanities. All are welcome: faculty, students, and technologists, experienced practitioners and beginning DHers, enthusiasts and skeptics.

We meet regularly on- and offline to explore key topics in the Digital Humanities, and share our work, questions, and concerns. See our blog for more information on upcoming events (it’s also where we present our group’s work to a wider audience). Help edit the CUNY Digital Humanities Resource Guide, our first group project. And, of course, join the conversation on the Forum.

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Job: Text Mining Specialist, Northeastern


    Text Mining Specialist

    Do you enjoy analyzing text sources to reveal new patterns and insights? Do
    you get excited about helping people tell compelling stories with data? We
    might just have the job for you! The Northeastern University Library seeks
    a service-oriented, self-motivated Text Mining Specialist to lead and grow
    the library’s suite of programming and services related to web scraping and
    text analysis.

    About the Opportunity

    Reporting to the Head of Research Data Services, the Text Mining Specialist
    (salary range $56,835-88,095) works closely and collegially with fellow
    Research Data Services team members and others inside and outside the
    library to a) identify existing support and research needs across the
    University, and b) develop a broad and deep range of services and
    initiatives to meet those needs and promote the acquisition of text
    analysis skills. The Specialist possesses expertise in text analysis
    techniques and is adept at applying those concepts and methods to the
    interests of faculty, staff, and students, regardless of their subject area
    or skill level.

    Specific Responsibilities

    The Specialist:

    ·Serves as a consultant for research and curricular projects that require
    skills related to manipulating, analyzing, customizing, querying, and/or
    visualizing text data.

    ·Creates and delivers training on text analysis and related topics suited
    to audiences at various levels of experience.

    ·Trains and mentors colleagues and/or student workers to provide first-tier
    support and services.

    ·Serves as a focal point for activities at the University related to text
    analysis and web scraping, bringing the diverse community together for
    discussion and collaboration.

    We welcome applications from candidates who meet some of our qualifications
    and have a strong interest in developing their skills. We expect this
    position to be an ongoing learning experience and are dedicated to
    supporting professional development for all library staff members. We also
    seek colleagues who are committed to building an inclusive and diverse
    working environment and who have been and remain underrepresented or
    marginalized in the field of librarianship – including but not limited to
    people of color, LGBTQ+ people, individuals with disabilities, and
    applicants from lower-income and first-generation academic backgrounds.

    Matthew K. Gold, Ph.D.
    Director, M.A. Program in Digital Humanities ( & M.S.
    Program in Data Analysis and Visualization (
    Associate Professor of English & Digital Humanities /
    Advisor to the Provost for Digital Initiatives, CUNY Graduate Center | @mkgold

    *pronouns: he/him/his*

Viewing 1 replies (of 1 total)
  • Hi Matt,
    When reading this job description, I cannot but think of how Gen AI may impact this kind of work. I’m hoping we will get a proposal about it for the CUNY IT Conference!
    All best!

    Greet Van Belle, PhD | Director, Center for Teaching, Learning and Educational Technologies (CTLET) | CUNY York College | 718-262 2810 | Find me in Teams as greet.vanbelle00 | Schedule a meeting with me using Bookings(

    From: Matthew K. Gold (Digital Humanities Initiative) <>
    Date: Wednesday, September 6, 2023 at 5:17 PM
    To: Greet Van Belle <>
    Subject: Job: Text Mining Specialist, Northeastern

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