Learning Engineering Intern

About the Role

The SEI is seeking a Learning Engineering Intern to join the Cyber Mission Readiness Directorate within CERT. You will collaborate with a team focused on developing training, exercises, and assessments to improve cyber mission readiness.

Position Summary

• Assist in applying learning science to the design, delivery, and evaluation of hands-on cybersecurity courses.
• Connect mission tasks to learning objectives, practice activities, and performance-based assessments.
• Use learner data to measure whether training produces observable skill.
• Evaluate and help improve AI-assisted curriculum development workflows, ensuring accuracy, alignment to objectives, and expert review of generated content.
• This internship begins in Fall 2026, with the option to continue through Spring 2027.

Key Responsibilities

• Learning experience and assessment design
• Learning analytics and xAPI/cmi5 instrumentation
• AI-assisted curriculum development and quality review
• Training effectiveness evaluation

Requirements & Tech Stack

• Enrolled in a degree-granting program.
• Willingness to travel to various locations to support the SEI’s mission, including within the SEI and CMU community.
• Must be eligible to work in the United States without Visa sponsorship.
• Familiarity with scripting languages or data analysis tools such as Python, R, or SQL.

Qualifications

• Ability to critically think and problem-solve.
• Familiarity with learning science principles, such as active learning, deliberate practice, and feedback.
• Ability to write measurable learning objectives and align them with instruction and assessments.
• Ability to collaborate internally and externally with professional engineers, instructional designers, and subject matter experts.
• Willingness to learn new technologies with cross-functional teams.
• Must be organized, detail-oriented, and have the capacity to clearly document and communicate any findings.

Desired Experience

• Coursework or experience in instructional design, learning sciences, or human-computer interaction.
• Experience with learning management systems, xAPI, cmi5, or learning analytics.
• Experience using generative AI tools to create or evaluate educational content.
• Cybersecurity coursework or hands-on experience (e.g., capture-the-flag competitions).

Note: These experiences may also stem from education-driven experiences or extracurriculars.

Job Function Breakdown

• Design and align learning objectives, practice activities, and performance-based assessments: 30%
• Instrument learning experiences and analyze learner data (xAPI/cmi5) to evaluate training effectiveness: 25%
• Evaluate and refine AI-assisted curriculum workflows and the content they produce: 25%
• Document findings and present recommendations to instructors, developers, and stakeholders: 20%

Location

Pittsburgh, PA

Position Type

Intern (Fixed Term), Part time