Assistant/Associate Professor of Practice

USC Iovine and Young Academy; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

USC Iovine and Young Academy seeks a scholar to develop and disseminate applied transdisciplinary curricula that blend artificial intelligence, machine learning, human-centered design, and business strategy. The role includes teaching undergrad and grad courses in machine learning, interactive AI systems, and data design.

The candidate should hold a PhD in CS/Engineering or a related field or a Master's with 5+ years of relevant experience, and demonstrate expertise in developing and deploying

Qualifications

• PhD or master's with substantial teaching/research in AI/ML and design.
• Strong background in developing, training and deploying AI/ML systems with a human-centered lens.
• Preference for cross-disciplinary experience across technology, design, business strategy and product development.

Responsibilities

• Develop and disseminate applied transdisciplinary curricula integrating AI/ML with human-centered design and business strategy.
• Teach undergraduate and graduate courses in machine learning, interactive AI systems and data design.
• Collaborate with USC faculty to create co-design methodologies and secure grants and partnerships.

Skills

AI/ML pedagogy

Human-centered design

Curriculum design

Teaching experience

Research collaboration

Education

PhD in CS/Engineering or related field

MS in CS/Engineering or related field with 5+ years experience

Job description

Develop and disseminate applied transdisciplinary curricula and scholarship integrating artificial intelligence and machine learning with human-centered design, product development, and business strategy. Teach undergraduate and graduate-level courses in machine learning, interactive AI systems and data design. Partner with other USC faculty to create novel methodologies for co-designing augmented human performance and technology innovation. Develop industrypartnerships and grant proposals that provide financial and programmatic support for research in Human Technology Interaction.

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.