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Skills

Generative Artificial Intelligence (AI)
Machine Learning (ML)
Artificial Intelligence
Instructional Design
Curriculum Development
Content Creation
Training
Modeling
Workflow
Python
PyTorch
Mechanical Engineering

Summary

Description

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.

Application Instructions

Please submit CV and resume as one file uploaded to Interfolio.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTL119759
Position Id: a5ee1b788fb1d687f5f753f24ea5071a
Posted 1 day ago

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