Part time - Smeal, Marketing Dept - Research Assistant - Computer Science
University Park, Dallas County, Texas, USA
Listed on 2026-07-01
-
Software Development
Computer Science, Data Scientist, Machine Learning/ ML Engineer
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
Current Penn State student with a background in computer science and programming.
Background ChecksEmployment with the University will require successful completion of background check(s) in accordance with University policies.
Remote/Hybrid WorkApproval 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 StatementPenn 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 .
#J-18808-Ljbffr(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).