Student Employment

Whether you want to get a jump-start on your career, or just need extra money for school, you’ll find a wide range of student employment opportunities in the University Libraries. Our student workers usually tell us that both the experience and the contacts they’ve made are very helpful when they are looking for full-time employment after graduation.

Open Positions

Student Assistant – Assessment & Analytics

Position Summary: Provide support to the Assessment & Analytics department, primarily focusing on analyzing collected data within the University Libraries.

Essential Functions

  • Identify, gather, and analyze data related to the Library’s collections, services, programs, facilities and operations as well as data related to the University
  • Assist in translating questions and problems into structured analysis.
  • Translate complex findings into generally understandable formats including the use of data visualization and dashboard development.
  • Assist in organizing data so that it can be used across the Libraries for a variety of analysis
  • Assist in other assessment related projects that arise

Special skills

  • Knowledge of data mining and analysis tools, textual analysis, and/or TEI
  • Working knowledge of relational database software, e.g Microsoft Access, Oracle, MySQL
  • Experience finding, acquiring, manipulating and analyzing quantitative data
  • Demonstrated ability to work independently and to manage projects
  • Demonstrated ability to work within and across committees and teams, to work with interdisciplinary areas across the campus, and to contribute constructively to committee and team efforts.

Student Assistant – Digitization

Position Summary: The Student Digitization Assistant (remote) is responsible for assisting in the creation of preservation quality digital surrogates for digitized materials from Newman Numismatic Portal’s loaned or stored material to facilitate online access to the collections. Working in coordination with the NNP’s library technical assistant (Kelli West), the assistant remotely performs image post-processing for a variety of digitized material.

Essential Functions

  • Assists in image post-processing, including creation of archival and access level digital assets, carrying out and assisting with other post-processing tasks, such as quality control; following digitization workflows, guidelines and other documentation related to digitization and project management
  • Assist with NNP’s historical article database, including finding material through library database searches, transcribing text, installing text and metadata on NNP for access
  • Performs other duties as assigned like updating ANB metadata on NNP

Special skills

  • Familiarity with image digitization, photography, and/or the Adobe Creative Suite is desired, but not required. Equipment and software training is provided.
  • Applicant must be able to work independently and stay focused on repetitive tasks.

Student Assistant – Qualitative Data

Position Summary: The Student Qualitative Data Assistant works the Data Services team on qualitative data analysis tasks and provides insights to the development of our program. Activities may include providing research support to users and staff for tools and methods related to qualitative data analysis tasks, such as text mining, thematic coding, modeling, scripting, or machine learning workflows. The Assistant is expected to document all activities, provide workflow improvement recommendations, and complete all other tasks as assigned.

ESSENTIAL FUNCTIONS

  • Provide research support to students, faculty, and staff seeking to use tools, methods, and programmatic scripting for qualitative data analysis, including support for Nvivo, ATLAS.ti, SPSS, and SAS; and development of content (and accompanying processing and automated workflows) for training in qualitative data analysis
  • Assist in the development of educational workshops research resources related to qualitative data
  •  Other tasks as assigned

Special Skills

  • Moderate to advanced skills in qualitative data analysis methods and tools (e.g. text analysis, machine learning, grounded theory, NVivo, ATLAS.ti)
  • Proficiency in at least one programming language (e.g., C#, Python, R, Java)
  • Understanding fundamentals of qualitative data analysis

Student Assistant – Quantitative Data

Position Summary: This Quantitative Data student assistant will focus on support for quantitative data consultations and educational outreach in collaboration with the Data Services team. Activities may include providing research support to users and staff for tools and methods related to quantitative data analysis, such as R and RStudio, SPSS, SAS, Python, Tableau, and scripting. The Assistant is expected to document all activities and complete all other tasks as assigned.

ESSENTIAL FUNCTIONS

  • Assist in providing help desk research support assistance for quantitative data consultations with WU faculty and students in collaboration with Data Services staff.
  • Assist in the development and teaching of workshops, research guides, and other educational outreach to WU campus related to quantitative data tools and methods.
  • Other duties as assigned

Special skills

  • Demonstrated familiarity in using and troubleshooting with at least 3 of following tools:SPSS,SAS,R and RStudio, Tableau, Python
  • Proficiency in at least one programming language (e.g., Python, R, Java, Haskell)

Digitization Assistant

Position Summary: The Student Digitization Assistant (remote) is responsible for assisting in the creation of preservation quality digital surrogates for digitized materials from the Julian Edison Department of Special Collections to facilitate online access to the collections. Working in coordination with the Digitization staff, the assistant remotely performs image post-processing for a variety of digitized material.

Essential Functions

  • Assists in image post-processing, including creation of archival and access level digital assets, carrying out and assisting with other post-processing tasks, such as quality control; following digitization workflows, guidelines and other documentation related to digitization and project management
  • Assists with metadata creation for digital projects
  • Performs other duties as assigned

Special skills

  • Familiarity with image digitization, photography, and/or the Adobe Creative Suite is desired, but not required. Equipment and software training is provided.
  • Applicant must be able to work independently and stay focused on repetitive tasks.

Resources for Student Workers

Congratulations and welcome to our library team. Please follow the steps below to finish your onboarding:

  1. Complete the online application on university’s applicant tracking system. You will receive email about this from libraries HR team.
  2. Complete the PIF (Personnel Information Form) – An email will be sent out with instructions.
  3. Complete the online I-9 – A link will be emailed.
  4. Meet with HR team – The HR team will send an email with their availability. Please make sure you bring your original documents required to complete an I-9.
  5. Authorized to work email – The HR team will send an email to you and your supervisor when you are authorized to work.

What is HRMS?

HRMS is the University’s human resources management system which is used for reporting time and viewing paychecks and W-2’s.

HRMS Time Reporting Instructions

Use these instructions to learn how to submit time worked to HRMS for compensation.

Report Time

Use this link to report time in HRMS.