Applied AI Systems Tenure-line Faculty
Core
Tenure-line faculty position designing, building, and deploying physical AI systems (edge AI, cyber-physical systems, robotics) or studying enterprise AI integration, governance, and business function transformation.
Role type
Tenure-track faculty (Assistant or Associate Professor)
Builds
Hands-on, project-based curricula in collaboration with industry partners; AI-enabled systems in real organizational contexts
Domain
Academic research and education in Applied AI, Human-Centered Computing, and Social Informatics
Required skills
Research in physical AI or enterprise AI, teaching undergraduate/graduate courses, supervising graduate students, securing external funding, interdisciplinary collaboration
Preferred skills
Experience with edge-cloud architecture, generative AI, AI governance, or digital transformation in business functions
Technologies
Embedded systems, robotics, wearables, IoT, generative AI, agentic systems, enterprise systems
Responsibilities
Conduct cutting-edge interdisciplinary research, teach courses, mentor students, pursue external funding, engage in university service, collaborate with industry
Seniority
Senior, tenure-track academic faculty
