Get Involved

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.

Opportunities

Employment opportunities are occasionally available through the universities that make up our institution:

Job Search by University
University of Washington (search term: artificial intelligence)
Columbia University
Harvard University
University of Hawai'i at Mānoa
Montana State University
University of Nevada, Reno
University of Alaska Anchorage
Boise State University
Portland State University

See also:
career openings at our fellow AI Institutes.

The Institute does not directly admit students into academic programs. Admission to an academic program is determined by each partner university.

Graduate Admissions by University

University of Washington
Columbia University
Harvard University
University of Hawai'i at Mānoa
Montana State University
University of Nevada, Reno
University of Alaska Anchorage
Boise State University
Portland State University

Current Institute members, whether postdoctoral scholars or students, can enhance their Institute engagement through a research exchange:

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Stay Connected

Collection of Information
The AI Institute in Dynamic Systems is committed to respecting individuals’ privacy. The Institute will only collect data that is needed and provided by individuals who provide consent by submitting form(s).

Use of Information

The Institute will only use your personal data on a lawful basis to fulfill a legitimate interest of the Institute, such as demographic information supplied by individuals through informed consent. This information is presented in a non-personally identifiable format, employing anonymization and aggregation techniques to protect individual privacy. Demographic data is utilized to support diversity, equity, and inclusion initiatives.

Non-Institute Websites
The Institute may provide links on its website to other non-Institute websites. Your use of non-Institute websites is subject to the terms and conditions or privacy statements of the providers of those websites. We do not have control over external websites and recommend reviewing their privacy policies.

Data Protection
The Institute strives to protect information through measures described in the University of Washington Administrative Policy Statements 2.2 University Privacy Policy and 2.6 Information Security Controls and Operational Practices.

Retention
The Institute retains your data for at least the minimum required retention according to applicable University of Washington Records Retention Schedule(s) or for the duration of your relationship with the Institute.

Guiding Principles for Privacy Practices
Minimization: Collect only what is needed & retain only as long as needed
Accountability: Knowing & understanding our responsibilities toward privacy
Protection: Safeguarding & anonymization and de-identification
Awareness: Transparency about use of data & opportunities to opt in/out
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