The Position
| Job Title: | Text Mining Student Specialist |
|---|---|
| Location/Department: | Seattle Campus – Suzzallo & Allen Libraries |
| Rate: | $25.00 |
| Hours: | 19.5 hours per week |
| Positions available: | 1 |
| Date posted: | January 31, 2025 |
| Closing date: | February 17, 2025 |
| Start date: | March 24, 2025 (negotiable) |
General Description
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 technical expertise on text mining and natural language processing (NLP) to UW researchers at all levels. For example, previous projects include: exploring the role of social media in shaping public sentiment during major climate events, using a combination of NLP and text-mining techniques to analyze relevant data. The Text Mining Specialist will be uniquely situated to be responsive to needs identified by the AI Task for and to adapt to a rapidly evolving technical landscape at the intersection of NLP and AI.
Duties may include:
- Consulting and providing support to researchers tackling basic to complex text mining tasks .
- Leads problem solving for NLP-related challenges in collaboration with researchers from all disciplines and develops custom solutions based on NLP best practices (standards, methods, and techniques). This may involve extensive research of techniques and practices to determine the best course of action given the scope of the research problem.
- Leading the development and presentation of text-mining reference and educational materials to be integrated into classrooms.
- Creating and/or updating online technical subject guides and other LibGuides on text mining, how to use APIs, etc.
- Offering in person office hours in the Open Scholarship Commons and/or the eScience Institute
- Developing and teaching workshops and asynchronous tutorials on subjects related to using text as data for research
- Attending planning meetings for relevant work teams and committees to aid with development and alignment.
- Collect assessment data and provide 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
- Bachelor’s degree
- Experience in text mining (Selenium, NLTK, BeautifulSoup, etc.).
- Experience with Natural Language Processing techniques such as text preprocessing, topic modeling, sentiment analysis, or named entity recognition.
- Basic understanding of all, and advanced working knowledge of text analysis with at least one of the below tech stacks:
- Python
- R
- Experience with statistical analysis, causal inference, and experimental design.
- Experience developing research problems.
- Familiarity with tools and platforms for large-scale data analysis, such as Jupyter Notebooks, Google Colab, or cloud services (AWS, Azure)
- 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.
- Familiarity with library systems and digital scholarship tools, such as LibGuides.
How to Apply
Upload your cover letter and resume to the form above with your student NetID.
Application process tips and more information about working at the Libraries
Equal opportunity and accommodation information
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
The University of Washington prohibits sex discrimination and sex-based harassment in any education program or activity that it operates. Individuals may report concerns, make complaints, or direct inquiries to the Title IX Coordinator. Notice of nondiscrimination.
The University of Washington is committed to providing access and reasonable accommodation in its services, programs, activities, education and employment for individuals with disabilities. To request disability accommodation in the application process, contact the Disability Services Office at least ten days in advance at: 206.543.6450/V, 206.543.6452/TTY, 206.685.7264 (FAX), or [email protected].