Adjunct Instructor - IPD Methods

Carnegie Mellon University: College of Engineering: Integrated Innovation Institute (III)

Location: Pittsburgh

Description:

The Integrated Innovation Institute (III) at Carnegie Mellon University seeks an adjunct professor for the Integrated Product Development: Processes, Methods & Tools course. This position would teach students within the Master of Integrated Innovation for Products & Services (MIIPS) degree. The MIIPS degree is a residential program based in Pittsburgh and final candidates will have the ability to teach on campus as needed.

Qualified candidates will have previous teaching and work experience product innovation, product design and innovation tools and methods. Teaching skills should include using assigned textbook readings, case study analyses, group discussions, written assignments, oral presentations, and individual research.

Below is the standard course description:

This studio-style course covers the critical thinking, processes, frameworks, methodologies, artifacts and deliverables typically associated with innovative product development. In particular, students will learn the Integrated Product Development (IPD) process used in the MIIAS and MIIPS programs: identifying, understanding, conceptualizing, and realizing a product (or service) opportunity. Working individually and in teams, students will be challenged through case histories, mini-lectures, readings, a variety of hands-on exercises, assessments and project prompts. In addition, students will gain professional practice communicating within teams to further the work and to potential stakeholders about key decision points. This course is only open to students in the MIIAS/MIIPS programs and is a required course for the MIIAS/MIIPS residential programs.

Qualifications:

Academic Requirements

• Has experience in teaching and/or working in the following areas:
  • IoT software, system, and data architectures
  • secure, efficient, and reliable IoT data collection
  • extracting information and knowledge
  • applying models to IoT systems
• Bachelor's degree required, Master's Degree, preferred
• Previous teaching experience required
• Work experience related to products and/or service development preferred