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Part time - Smeal, Marketing Dept - Research Assistant - Computer Science

Remote / Online - Candidates ideally in
University Park, Dallas County, Texas, USA
Listing for: Penn State University
Part Time, Remote/Work from Home position
Listed on 2026-07-01
Job specializations:
  • Software Development
    Computer Science, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 15000 - 20000 USD Yearly USD 15000.00 20000.00 YEAR
Job Description & How to Apply Below

Job Description

The Marketing Department and Professor Zhong are seeking a research assistant (RA) to work up to 10 hours per week from April through December.

We are looking for a current Penn State student with a background in computer science and programming. The ideal candidate will have strong skills in web scraping, processing unstructured data (both text and images), and experience with modeling techniques such as machine learning. Compensation will be consistent with Penn State’s standard rates.

Job Duties
  • Develop and maintain web scraping scripts to collect data from various online sources
  • Clean, organize, and process structured and unstructured datasets (e.g., text and images)
  • Apply machine learning models to analyze data
  • Collaborate with faculty and graduate students to support ongoing research projects
  • Document code, workflows, and findings in a clear and reproducible manner
Qualifications

Current Penn State student with a background in computer science and programming.

Background Checks

Employment with the University will require successful completion of background check(s) in accordance with University policies.

Remote/Hybrid Work

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.

EEO Statement

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .

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