New

Part Time - Student (Undergraduate) - OVPCC Tract 2 REU Research Assistant

The Pennsylvania State University
remote work
United States, Pennsylvania, Reading
Dec 04, 2025
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 Join an innovative research team exploring the effectiveness of Large Language Model (LLM) ensembles versus individual models for thematic deductive analysis of text-a critical qualitative research method widely used in social sciences, education, and business research. This project aims to advance AI applications in qualitative research while providing hands-on experience in machine learning, natural language processing (NLP), and research methodology. Requirements and Qualifications Candidates should have: Currently enrolled as an undergraduate student in Information Sciences & Technology, Computer Science, or a related field. Basic understanding of Python programming. Familiarity with natural language processing concepts is a plus. Strong analytical and problem-solving skills. Ability to work independently and collaboratively. BACKGROUND CHECKS/CLEARANCES This position requires the following clearances in addition to applicable background checks: PA State Police Criminal Background Check, PA Child Abuse History Clearance Form, and Federal (FBI) Fingerprint Criminal Background Check. 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. EEO IS THE LAW 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 814-865-1473. The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission. Federal Contractors Labor Law Poster PA State Labor Law Poster Penn State Policies Copyright Information Hotlines