Course Instructor- Generative AI for Engineers, Mechanical Engineering
Develop and teach a Generative AI for engineering applications course, including lecture videos, assignments, and projects.
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Worth knowing
Why it is interesting. Design a new course from scratch covering diffusion models and neural operators applied to materials and microstructure design
Might not be for you. Adjunct role at about 10 hours/week for one course; focus is ML teaching rather than materials research
Adjacent materials roleAdjunct Instructor, Mechanical Engineering dept; course covers generative AI with applications in "materials and microstructure design" and simulation workflows
H-1B filings
Carnegie Mellon University filed 45 H-1B labor applications for scientist and engineer roles from Jan to Dec 2025.
Most common titles: Postdoctoral Research Associate, Assistant Professor, Research Associate. Median filed pay: $96K a year.
Universities are exempt from the H-1B cap, so roles here skip the lottery.
From U.S. Department of Labor disclosure data. A filing is a record of past hiring, not a promise about this role, so confirm sponsorship with the employer. Titles and filed pay ·Every employer's filings
- Seniority
- Entry level
- Work
- On-site
- Type
- Part-time
- Role
- Academic / Postdoc
Role details
The Department of Mechanical Engineering 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. This role emphasizes core course development, including curriculum design, technical content creation, and assessment development.
Instruction will cover foundational generative architectures such as transformers, diffusion models, and neural operators, with applications in geometry generation, surrogate modeling, materials and microstructure design, and simulation workflows. The instructor will develop hands-on assignments, guided projects, and assessments using Python and PyTorch and real-world engineering datasets. The instructor will also be responsible for recording high-quality asynchronous lecture videos, developing supporting instructional materials, and ensuring alignment between learning objectives, assessments, and course outcomes.
In addition, the instructor will facilitate project-based learning and evaluate student performance through technical assignments and project deliverables. The instructor will teach all scheduled sessions listed on the Mechanical Engineering academic calendar and complete associated instructional and administrative duties. The expected time commitment is approximately 10 hours per week for the duration of the course.
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