Graduate AI Research Assistant: Scheduling Analytics

Penn State University; Harrisburg (Dauphin County); On-site; USD 21,000 - 26,000; Part time

Job summary

Penn State University is seeking a Graduate Research Assistant to assist with research, data analysis, and AI exploration that supports more efficient academic scheduling. The role involves collecting and analyzing scheduling data, reviewing AI tools, and documenting workflows for automation.

The candidate should be enrolled as a graduate student with interests in analytics, information systems, or related fields and possess strong analytical and communication skills.

Qualifications

• Enrolled graduate students; backgrounds in business analytics, information systems, CS, engineering, AI, operations management, data analytics or related fields preferred.
• Strong analytical and problem-solving abilities are essential.
• Excellent written and verbal communication skills; ability to work independently and collaboratively.

Responsibilities

• Assist with research, data analysis, and AI exploration activities for scheduling process development.
• Collect, organize, and analyze historical scheduling and related data using Excel and analytical tools.
• Review AI-enabled technologies for potential application to academic scheduling.
• Document workflows and identify opportunities for automation and process improvement.
• Prepare datasets for analysis and support grant deliverables and stakeholder reports.
• Participate in meetings with faculty, administrators, and campus partners; perform other research tasks as assigned.

Skills

Analytical skills

Written and verbal communication

Independent yet collaborative

Education

Graduate student enrollment

Tools

Microsoft Excel

Microsoft Office

Python

SQL

Power Automate

Copilot

Job description

Penn State University is seeking a Graduate Research Assistant to assist with research, data analysis, and AI exploration that supports more efficient academic scheduling. The role involves collecting and analyzing scheduling data, reviewing AI tools, and documenting workflows for automation.

The candidate should be enrolled as a graduate student with interests in analytics, information systems, or related fields and possess strong analytical and communication skills.