Posted 3 days ago
Part Time - Student (Work-Study)(Undergraduate) - Artificial Intelligence & Image Processing Research Assistant
AI Summary
Undergraduate research assistant collaborating on AI and image processing projects, implementing convolutional neural networks, managing data, and compiling research reports.
About this role
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.
JOB DESCRIPTION AND POSITION REQUIREMENTS
This position requires you to have received a work-study award. To verify if you have received a work-study award, please consult the Financial Aid Award Summary area in your LionPATH account. A Federal Work Study award does not guarantee a job is available.The Science Department at Penn State York is seeking a motivated undergraduate student majoring in a science or engineering program to join our research team for the 2026-2027 Academic Year. As an Undergraduate Research Assistant, you will collaborate with the principal investigator and fellow team members on research projects focusing on convolutional neural networks (CNNs) for image processing applications. This position offers an opportunity to gain practical coding experience and contribute to cutting-edge artificial intelligence projects. Students may work up to 15 hours per week.
Job Duties
- Data Simulation: Assist in generating and simulating datasets using computational tools and programming environments.
- Data Management: Collect experimental data from open-source repositories and store them according to established laboratory protocols for future research use.
- Data Analysis: Process and analyze experimental data, visualize trends, interpret results, and draw meaningful conclusions.
- Algorithm Implementation: Employ convolutional neural networks to enhance image processing capabilities and develop innovative solutions for challenges in various scientific, engineering, and medical applications.
- Report Compilation: Collaborate with team members to compile research findings into comprehensive formal reports.
- Professional Communication: Develop effective communication skills by presenting research outcomes and actively contributing to project discussions.
Requirements and Qualifications
- Currently enrolled as an undergraduate student in an engineering or science program at Penn State York with an eligible Work-Study award.
- Strong attention to detail and the ability to follow strict coding and data protocols.
- Eagerness to learn and contribute meaningfully to ongoing research initiatives.
- Excellent teamwork and interpersonal communication skills.
- Familiarity with programming using MATLAB and Python.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.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.
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