Adjunct Instructor: Generative AI for Engineering Applications

CMU group; Pittsburgh (Allegheny County); On-site; USD 55,000 - 83,000; Part time

Job summary

Carnegie Mellon University—College of Engineering, Mechanical Engineering, in Pittsburgh, PA, seeks an adjunct instructor to develop and teach a course on Generative AI for Engineering Applications.

The successful candidate will bring expertise in machine learning, computational modeling, or AI-enabled engineering systems to design and deliver instruction focused on building, adapting, and applying generative models for mechanical engineering problems.

Qualifications

• Experience in machine learning, computational modeling, or AI-enabled engineering systems to design and deliver instruction on generative models.

Responsibilities

• Develop and teach a course on Generative AI for Engineering Applications.
• Design curriculum, content, and assessments.
• Record high-quality asynchronous lectures and develop instructional materials.
• Facilitate project-based learning and evaluate student work.
• Teach all scheduled sessions and perform instructional/administrative duties.

Skills

Machine learning

Computational modeling

Generative models

Python

PyTorch

AI-enabled engineering systems

Tools

Python

PyTorch

Job description

Carnegie Mellon University—College of Engineering, Mechanical Engineering, in Pittsburgh, PA, seeks an adjunct instructor to develop and teach a course on Generative AI for Engineering Applications.

The successful candidate will bring expertise in machine learning, computational modeling, or AI-enabled engineering systems to design and deliver instruction focused on building, adapting, and applying generative models for mechanical engineering problems.