Part Time Natural Language Processing Jobs (NOW HIRING)

Expected Start Date: May 26, 2026

Expected End Date: August 30, 2026

Supervisor: Professor Russel Funk

Data Wrangling:

   - Process and manage large-scale bibliometric datasets

   - Format and structure datasets for quantitative data analysis, ensuring integrity, consistency, and relevance.

Quantitative Data Analysis:

   - Conduct in-depth quantitative data analysis using techniques such as regression analysis, topological data analysis, network analysis, machine learning, and natural language processing.

   - Analyze text and other metadata from millions of research articles and patents, drawing meaningful insights and conclusions.

Research Documentation & Dissemination:

   - Assist in the preparation of research manuscripts, ensuring relevance, accuracy, and coherence. This will include the potential for authorship.

   - Prepare slide decks and present research findings at conferences and meetings.

   - Develop and prepare software code relevant to the project for public release, ensuring functionality, user-friendliness, and proper documentation.

Perks

Possible travel support for conference presentations and related research events.

Access to mentorship and professional development opportunities.

Work Location: Minnesota Carlson

Hours per Week: This is a casual position, with hours less than 14 per week. Time Card submissions are required for this role. 
Work Days/Times: Determined by employee and Supervisor

• Undergraduate student at Macalester College
• Proactive & Independent: Ability to work independently and take initiative.
• Organizational Excellence: Proven ability to manage multiple tasks, prioritize effectively, and maintain meticulous attention to detail.

• Communication: Excellent written and verbal communication skills.

• Experience with computational topology software (e.g., GUDHI, Ripser, giotto-tda, or similar).
• Familiarity with natural language processing (NLP), network science, or embedding methods.
• Experience with machine learning libraries such as PyTorch, TensorFlow, or scikit-learn.
• Interest in or exposure to the philosophy or sociology of science, scientometrics, or innovation studies.
• The ability to work both independently and collaboratively.

Pay Range: $15.25 per hour. Time cards submissions are required

Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications.  Learn more about retirement plans.

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will have the opportunity to complete an online application for the position and attach a resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).