Inference of Partially Observed Multi-Agent Dynamical Systems
Apollo 11 Postdoctoral Fellowships at Purdue - Proposal
The objective of this postdoctoral appointment is to advance state estimation theory by developing novel methods for set-based multi-object systems governed by both micro- and macroscopic dynamics. By integrating advanced dynamical systems techniques with emerging state estimation theory, the researcher will significantly enhance our ability to understand, track, and forecast the behavior of interconnected object populations in space and other domains.
The successful postdoctoral candidate will demonstrate expertise in advanced state estimation techniques, particularly for nonlinear and non-Gaussian systems, as well proficiency in dynamical systems theory. Additional expertise in optimal control, statistical learning, and applied mathematics will also be viewed favorably.
During the two-year appointment, the postdoctoral fellow will publish their findings in prestigious AIAA and IEEE peer-reviewed journals,
Affiliated Faculty
Assistant Professor Keith LeGrand
School of Aeronautics and Astronautics, Purdue University