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

The Pennsylvania State University; University Park (PA, TX); On-site; USD 60,000 - 80,000; Part time

Job summary

The Pennsylvania State University is seeking a research assistant to work up to 10 hours per week in the Marketing Department. The ideal candidate is a current student with skills in web scraping, data processing, and machine learning, supporting ongoing research projects under faculty guidance.

Qualifications

• Current Penn State student with a background in computer science.
• Strong skills in web scraping and data processing.
• Experience with machine learning techniques.

Responsibilities

• Develop and maintain web scraping scripts to collect data.
• Clean, organize, and process structured and unstructured datasets.
• Apply machine learning models to analyze data.
• Collaborate with faculty and graduate students on research projects.

Skills

Web Scraping

Machine Learning

Data Processing

Education

Current Penn State Student

Background in Computer Science

Job description

APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

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

JOB DESCRIPTION AND POSITION REQUIREMENTS:

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

The Pennsylvania State University is committed to fostering and upholding diversity, equity, inclusion, and sustainability in all forms. We celebrate individual uniqueness, cultivate a culture of inclusion that supports both broad and targeted diversity initiatives, and leverage the educational and societal benefits of a diverse community. We aim to empower every individual to thrive and view inclusion as a core strength and vital component of our public service mission.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.

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

EEO IS THE LAW

Penn State is an equal opportunity, affirmative action 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 814-865-1473.

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