PhD in Atmospheric Science - Data Assimilation, Machine Learning, and Causal Discovery in Fort Collins United States | Colorado State University

Our research centers on applying and advancing current techniques in data assimilation, machine learning, and causal analysis to deepen insights into Earth system processes, ranging from microscopic physics to planetary-scale climate patterns, while optimizing the use of observational and simulated data.

The department provides a doctoral program for aspiring atmospheric scientists seeking the field's most advanced academic qualification. Ph.D. candidates must exhibit substantial intellectual contributions, exceptional research capabilities, and comprehensive subject mastery. Beyond fulfilling the outlined credit requirements, all graduate students in the department are required to participate in the weekly colloquium series, which forms a vital component of the educational curriculum. These seminars typically occur Fridays at 11:15 a.m. throughout the academic term.