Posted:
12/2/2025, 4:00:00 PM
Location(s):
Reading, Pennsylvania, United States ⋅ Pennsylvania, United States
Experience Level(s):
Entry Level/New Grad ⋅ Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
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.
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.
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.
Website: https://www.arl.psu.edu/
Headquarter Location: State College, Pennsylvania, United States
Employee Count: 1001-5000
Year Founded: 1945
IPO Status: Private
Industries: Universities