Post-Doctoral Positions in the Department of Land, Air, and Water Resources, University of California, Davis
We seek applicants for two postdoctoral scholar positions in the areas of regional coupled modeling and data assimilation. The successful applicants will participate in a project to study the impact of dust on storm development over North Africa and East Atlantic and another project to study the impact of remote sensing data on Atmospheric River forecasts using the WRF or COAWST (Coupled-Ocean-Atmosphere-Wave-Sediment Transport) modeling framework. Areas of emphasis include but are not limited to (1) coupled model development, (2) dust-radiative-microphysical interactions on storms environments, (3) ocean and atmosphere interaction, (4) case studies of convective systems, and (5) remote sensing data assimilation including GPS radio occultation observations. Applicants with experience with the atmospheric and/or oceanic modeling system, data assimilation, and FORTRAN programing are preferred. The positions are available immediately. Candidates should have a Ph.D. in a field of Atmospheric Sciences, Oceanic Sciences or relevant field, effective oral and written communication skills, and strong programming and analytical skills.
Applicants should submit a complete CV, including a list of refereed publications and contact information for three references. These materials should be addressed to Shu-Hua Chen (firstname.lastname@example.org
), Yu-heng Tseng (email@example.com
), Jennifer Haase (firstname.lastname@example.org
). The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy please follow this link: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
. Please contact Prof. Shu-Hua Chen for more information.