Thank you for your interest in engaging with the AI Institute in Dynamic Systems! Our Institute believes that having members with different backgrounds, identities, and academic experiences enriches our growing community. We are focused on building advanced machine learning tools that are designed to control physics-constrained dynamical systems. Those with expertise and strong interest in such areas may want to explore various engagement opportunities outlined below.
Academic Collaboration: Work on specific projects or research endeavors. Faculty and postdoctoral researcher positions may be available through one of our partner institutions. Inquire through your faculty connections/network to discuss and/or explore the general search options below.
Advisory Board: Guide our strategic direction and contribute expertise. (Currently full.)
Associated Student: Engage in learning opportunities and research projects as a student. Admission to an academic program or faculty research lab at a partner institute is determined by each university rather than centrally.
Industry Partnerships: Collaborate on applications and projects. Hire interns or recruit talent. Contact us or inquire through your faculty connections/network to learn more.
Research Exchanges: Institute members can spend time visiting a partner institute through a research exchange.
Giving: Support our mission and initiatives through contributions.