Institutional Research and Analytics - Student Assistant

About the role

The Office of Institutional Research & Analytics is seeking an undergraduate student assistant to support projects focused on leveraging AI and machine learning, including LLM, to analyze survey data. The ideal candidate will have basic to intermediate Python skills for data analysis and a strong interest in developing AI/ML models.

Responsibilities

• Support projects focused on leveraging AI and machine learning, including LLM, to analyze survey data.
• Apply AI techniques to data sets, enhance web interfaces, and actively participate in a dynamic, innovative team environment.
• Other duties as assigned.

Requirements

• Ability to learn and perform assigned work; follow oral instructions; work cooperatively with faculty, staff, and other students; communicate effectively with all levels; and read and write English at a level appropriate to the position.
• Admission or registration as a CSU student.
• Must be able to work at least 2-3 days out of the work week (Monday - Friday).
• Basic to intermediate proficiency in Python, essential for tasks involving data manipulation and analysis.
• Interest in AI/ML models, with exposure to or a desire to engage deeply with data analysis techniques, particularly those that involve AI applications.
• Demonstrated interest or experience in developing web-based applications, showing a capability to contribute to technical aspects of the project.
• Exposure to machine learning or AI projects (academic or personal).

Qualifications

• Maintain a 2.0 GPA or greater per semester and cumulative.
• Enrolled in at least halftime units at CSUSB (6 units undergraduate; 3 units graduate) for international students.
• Eligible to work in the United States.