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Text Mining Student Specialist - Scholarly Communication & Publishing

Posted May 3, 2022. Closing May 16, 2022.


Scholarly Communication & Publishing, Suzzallo-Allen Libraries

Job Title:

Text Mining Student Specialist

Date Posted:

May 3, 2022

Closing Date:

May 16, 2022

Number Available:


Start Date: September 26, 2022


$18.72 per hour


8-10 hours per week during the quarter,

Weekdays, between 8 a.m. and 6 p.m.


Under the general supervision of the Head of the Open Scholarship Commons and Digital Scholarship Librarian and the eScience Institute, the student chosen for this position will provide text mining and NLP assistance to UW researchers at various levels.

Duties may include:

  • Providing text mining research, assistance and consultations to UW researchers at various levels
  • Assisting with development and presentation of text mining reference and educational materials to be integrated into classrooms
  • Solving NLP problems in collaboration with researchers from across the campus.
  • Creating and/or updating online subject guides and other LibGuides on text mining, how to use APIs, etc.
  • Teaching workshops, developing asynchronous tutorials, etc. on text mining skills and techniques
  • Attending planning meetings for appropriate work teams and committees
  • Provide assessment data and recommendations for future iterations of a text mining service at UW based on experience in the position.
  • Participate in eScience Institute Carpentries workshops as a helper or instructor.

    Required Qualifications:

    • A Bachelor's degree
    • Experience in text mining (selenium, scrapy, etc.).
    • Experience with Natural Language Processing applications such as classification, sentiment analysis, theme reduction, and an understanding of other supervised and unsupervised methods.
    • Basic understanding of all, and advanced working knowledge of text analysis with at least one of the below tech stacks:
      • Python
      • R
      • SQL
    • Experience with statistical analysis, causal inference, and experimental design.
    • Experience developing research problems.
    • Ability to organize unstructured text data and recommend data storage techniques.
    • Ability to explain complex procedures in written and multimedia formats.
    • Ability to work independently and in a collaborative team environment.
    • Capacity to quickly learn and adapt to new and emerging technologies.

    Desired Qualifications:

    • Ability to work with cloud environments.
    • Experience with Deep Learning technologies.
    • Demonstrated experience working with APIs such as Web of Science and Crossref TDM.

      Application Process:

      1. Prepare the following supplemental materials. A single PDF or Microsoft Word file is preferred.
        • Resumé
        • Cover letter
      2. Activate UW G Suite for your NetID if you have not already done so.
      3. Log in to the Google forms site with your UW NetID account to fill out an application form and upload your resumé and cover letter.

      Selected applicants will be contacted for an interview.

      For additional information or questions regarding student job opportunities, or for assistance with the application process, please contact the Student Employment Coordinator, UW Libraries:

      Erik Dahl