Assistant​/Associate Professor of Practice in Human-AI Interaction, Machine Learning, and Data Design

The Iovine and Young Academy (https://iovine-young.usc.edu), a nationally leading school for transdisciplinary design and product innovation, is seeking a highly skilled faculty member with expertise in human-AI interaction systems, modern ML architectures, and data design with a focus on applied innovation and cross-cutting learning. The successful candidate would be joining a lively and dynamic multidisciplinary campus culture where AI is a centerpiece of various schools, departments, centers, and initiatives: https://www.usc.edu/ai/

The position is allocated approximately as 50% teaching, 30% practice-based scholarship, and 20% service. Practice-based scholarship at IYA consists of research and development of novel products and processes that are applied within industry and socio-cultural contexts and result in partnerships, projects, publications, patents, contracts, and awards.

Candidates should hold a PhD in computer science, engineering, or a related field OR hold a Master's in computer science, engineering, or a related field and have at least 5 years of relevant industry or academic experience. Candidates should have a strong background in developing, training, and deploying advanced AI, data, and machine learning systems from a human-centered innovation lens. Preference will be given to candidates whose background includes i) experience that crosses the areas of technology, design, business strategy, product development, and/or technology commercialization, ii) prior teaching and mentoring experience at the undergraduate and/or graduate level, and iii) industry experience in AI, ML, and/or data design.

The successful candidate will collaborate with other IYA and USC faculty to create novel methodologies for co-designing augmented human performance and technology innovation. They will teach students how to explore and enhance these methodologies through innovative pedagogy, novel partnerships, and application-oriented scholarship. The candidate will be capable of translating technical AI/ML concepts into accessible, application-oriented learning experiences for students with varying levels of technical background.

The ideal candidate is comfortable teaching both technically rigorous material and applied AI workflows for students interested in entrepreneurship, product development, and innovation.

Salary to be commensurate with applied experience.

• Teach undergraduate and graduate-level courses in machine learning, interactive AI systems, data design, and generative AI, including courses oriented toward product development, management, and innovation.
• Develop applied transdisciplinary curricula that integrate AI/ML with human-centered design, product development, and business strategy.
• Design learning experiences that enable students to move from foundational knowledge to implementation, including prototyping, experimentation, and deployment of AI-driven products or services.

• Partner with IYA faculty and faculty across USC to create novel methodologies for co-designing augmented human performance and technology innovation.
• Develop industry partnerships and funded project proposals that provide financial and programmatic support for practice-based scholarship and development in Human Technology Interaction at IYA and USC
• Be a forward-thinking thought leader on AI who can serve as a bridge between the Academy, industry, and the University at large, particularly in translating AI advances into educational and applied innovation contexts through human-AI collaborations.
• Contribute to the development of institutional AI initiatives, labs, or venture studios that integrate research, teaching, and applied innovation.