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I am looking for 1-2 PhD students to join my research group in Fall 2024 and develop new AI methods for modeling spatiotemporal dynamics in complex systems. Our current focus is on problems at the intersection of ML, time series, multi-agent systems, uncertainty quantification, and scientific modeling. Our main application domains are public & environmental health and community resilience. Some potential research directions are learning multi-scale dynamics, developing principled AI methods for bias and equity issues, and designing differentiable simulators grounded in scientific principles. This research position offers the opportunity to contribute to the advancement of AI while also addressing social impact problems. More details about our research can be found here.

Interested applicants can send their CV, transcripts, and a brief paragraph outlining their research experience and interests to with the subject line “Prospective PhD Student – YOUR_NAME.” Students who can articulate why they would be a good fit for the group will receive higher consideration. Due to the high volume of emails, I may not be able to respond to each one individually. Please understand that any lack of response does not reflect on you, and I apologize in advance if I am unable to reply to your email.

About the University of Michigan–Ann Arbor: The University of Michigan is one of the world’s leading research universities, ranked #23 in the Times Higher Education World University Rankings (2023) and #28 in the Academic Ranking of World Universities (2022). Situated in the city of Ann Arbor, often ranked among the best college towns in the USA, it is about 40 minutes away from Detroit and 4 hours from Chicago. You will be part of the CSE community within the College of Engineering, whose Computer Science program is ranked #7 by US News and World Report (2022). CSE is a vibrant community, with 90 faculty members, almost 500 graduate students, and a large alumni network. You will also be part of the Michigan AI Laboratory. This is a highly interdisciplinary group, building on ideas from computer science, linguistics, psychology, economics, biology, controls, statistics, and others. The group meets regularly and offers numerous opportunities for faculty and students to engage in discussions. The university has a legacy of commitment to Diversity, Equity and Inclusion (DEI). Michigan Engineering models that commitment in our research, culture and collaborations. Learn more about DEI at Michigan Engineering here.