Student - WSB Student - Research Assistant; SMO

Position: Student - WSB Student - Research Assistant (SMO)
Salary: $11.61 - $13.00 Hourly
Location : 800 W University Parkway, Orem
Job Type: Student
Job Number: FY2605537
Division: VP Academic Affairs
Department: Strategic Management and Operations
Opening Date: 01/30/2026
Closing Date: 2/28/2026 11:59 PM Mountain
Required Documents Needed to Apply: Resume

Student Class Schedule
Applicant Support:

Position Announcement

We are seeking motivated university students to design, build, and deploy no-code AI solutions using Cerbrec Graphbook to address real-world operations management challenges. Students will work on applied projects involving process improvement, forecasting, quality management, and performance KPIs - without writing traditional code.

This role emphasizes hands-on learning, problem-solving, and AI-enabled decision support, preparing students for modern roles in applied AI in operations, analytics, and digital transformation.

Student No-Code AI Intern (Cerbrec Graphbook for Operations Management Solutions);
Part Time (18-20 hrs/month); 5-month project Feb to June 2026
Preferably have taken or are taking MGMT 4350 or Mgmt 4940R Big Data class, or are familiar with the Cerbrec platform.

Department / Program:
Strategic Operations and Management (Data Analytics / AI & Digital Transformation) (College of Business, Computer Science, Engineering, or Interdisciplinary Programs)
Summary of Responsibilities

• Design and build no-code AI workflows using Cerbrec Graphbook
• Develop AI-driven solutions for:
• Process efficiency and productivity improvement
• Demand and capacity forecasting
• Quality management and defect analysis
• Risk analysis (e.g., FMEA-style logic)
• KPI (OEE, cycle time, utilization, service levels)
• Translate business and operational problems into AI-ready workflows
• Work with structured datasets (Excel, CSV, basic databases)
• Validate AI outputs and ensure business relevance
• Document solutions clearly for faculty, staff, and stakeholders
• Present project results to instructors, project sponsors, or campus partners
• Collaborate in interdisciplinary teams (business, engineering, IT)
• Develop research paper drafts.

Qualifications / Licenses / Certifications

• Currently enrolled undergraduate or graduate student
• Background or coursework in one or more of the following:
• Operations Management
• Supply Chain or Logistics
• Business Analytics / Data Analytics / Business Intelligence / Big Data / Database Management
• Industrial Engineering
• Information Systems
• Strong analytical and problem-solving skills
• Comfort working with data in Excel or similar tools
• Interest in AI, automation, and decision-support systems
• No prior coding experience required

Preferred Qualifications

• Familiarity with:
  • Lean, Six Sigma, or continuous improvement concepts
  • Forecasting, regression, or basic statistics
  • KPIs such as OEE, throughput, lead time, or service level
  • Experience with dashboards or data visualization tools
  • Strong written and verbal communication skills

Knowledge / Skills / Abilities

Students in this role will:

• Gain hands-on experience building AI-powered operational solutions
• Learn how no-code AI tools are used in industry settings
• Build a portfolio of applied AI projects
• Develop skills directly relevant to roles in:
• Operations management
• Business analytics
• Supply chain
• Digital transformation
• Consulting and process improvement
• These are among the top no-code AI skills increasingly seeked by employers.
• Receive mentorship from faculty and industry-aligned project leads. The selected students will work under Professor Nikhil Churi's guided supervision for 5-months.
• Tools & Technologies
• Cerbrec Graphbook (No-Code AI Platform)
• Microsoft Excel / Google Sheets
• Structured operational datasets
• Visualization and dashboarding tools (as applicable)

Compensation

• Hourly student wage: $11.61 to $13.00 / hour
• Potential academic credit or recognition (if aligned with program requirements)
• Interested students should submit:

EEO Statement:

UVU employment decisions are made on the basis of an applicant's qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
Student positions are ineligible from the university's full-time employee benefits package and part-time offerings.

For more information on services offered to students, visit https://(Use the "Apply for this Job" box below)..
01

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• No

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03

In a paragraph or two, explain:
Why are you interested in no-code AI?
04

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