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Professor Beeson leads the Beeson Group in the Department of Mechanical and Aerospace Engineering at Princeton University, focusing on vital questions related to space flight, weather, and policy. His research involves developing new theories and algorithms for data assimilation and optimal control within the realm of dynamical systems. He is committed to mentoring prospective PhD candidates with excellent profiles to join his group, particularly those interested in areas such as Control, Robotics, and Dynamical Systems, starting in Fall 2026. Professor Beeson also engages undergraduate students in independent work related to their senior thesis projects, and he welcomes inquiries about collaborative research opportunities in cislunar astrodynamics, space situational awareness, autonomous guidance, control, and space policy. His current projects encompass aspects of physics together with artificial intelligence and machine learning for data assimilation, numerical weather prediction, and climate studies.
GRE scores are not accepted. Ph.D. is the primary degree; students are not required to hold an M.S.E. prior to admission.