This Postdoctoral Fellowship is a 12-month appointment with a flexible start date between February 2021 and July 2021, and option to renew for up to two additional years contingent upon performance and funding. The individual in this fellowship will explore how best to utilize machine learning approaches, including explainable AI methods and physics-guided machine learning, for meteorological applications. Focus will be on, but not limited to, working with satellite imagery. The goal is to improve both predictive abilities for high-impact weather and understanding of atmospheric processes, with key emphasis on the application of tropical cyclones, including tropical cyclone evolution and rapid intensification. Additional meteorological applications will be considered based upon the fellow’s interests and CIRA’s needs. The individual in this fellowship will report to CIRA’s Machine Learning Lead and Research Professor in Electrical and Computer Engineering, and work closely with the lead of CIRA’s Tropical Cyclone Group. The individual in this fellowship will be expected to establish strong collaborations with CIRA & NOAA research staff and members of the AI2ES team in CSU’s Computer Science and Atmospheric Science departments, as well as other AI2ES partner institutions. This is an exciting, high-impact position that provides a great opportunity for a motivated researcher to push the boundaries of AI research in several weather/climate applications and to explore innovative approaches while working in a highly stimulating and interdisciplinary team environment.
Colorado State University offers a comprehensive benefits package; including paid holidays, accrued sick leave days, enrollment in group health, life and accident insurance, work injury benefits, disability insurance, and additional opportunities such as free employee study privilege credits. CSU offers paid parental leave, spousal and domestic partner benefits as well.