- AI Core: Foundational AI research
- Biology, Healthcare, & Quality of Life, e.g., AI in computational and experimental biology, personalized medicine, protein modeling and design etc.
- Materials, Design & Manufacturing, e.g., AI in material science, automated design, manufacturing, 3D printing
- Autonomy and Smart Infrastructure, e.g., AI in autonomous vehicles, robotics, AI for smart cities
- Food, Energy & Water, e.g., AI in resilient agriculture, energy management, AI for sustainability
- Ethics, Fairness & Adoption, e.g., Ethical deployment of AI, social implications of AI
- FinTech, e.g., AI in financial technologies such as banking, investment, insurance and real estate
- Broad research collaboration: Develop research collaboration with TrAC researchers working on a wide variety of AI+X problems. Contribute to both long-term, foundational research and applied, industry-responsive FAST-TrAC projects.
- Teaching and mentoring: Engage in developing and delivering AI-related tutorials and bootcamps for Iowa State students, faculty, and staff as well as external participants. Build a strong record of mentoring AI+X graduate and undergraduate students.
- Grant writing: Participate in competitive external grant writing with TrAC researchers as well as develop independent research vision and capabilities via competing for the internal TrAC seed grants.
- Industry networking: Build a strong professional network with a wide variety of industry partners interested in AI+X. Develop communication skills to pitch your ideas as well as present research outcomes.
- Resources: Access to cutting-edge software & hardware infrastructure for AI+X development.