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Post-Doctoral Position in Land-Atmosphere Modeling at University of Nebraska-Lincoln


New member

The Department of Earth and Atmospheric Sciences at the University of Nebraska-Lincoln is seeking a post-doctoral researcher to study the impact of surface fluxes on rain-on-snow (ROS) events and improve their representation in numerical models. The position is for two years, renewable each year based on performance and dependent on continued funding. The successful candidate will be expected to perform simulations of case studies of ROS events using the Weather Research and Forecasting Model (WRF) and test the sensitivity of these events to the representation of surface processes in the model.

Minimum Required Qualifications:

· Ph.D. in atmospheric science or a closely related discipline
· Prior research experience
· Strong oral and written communication skills

Preferred Qualifications:

· Demonstrated interest and knowledge in land-atmosphere processes
· Experience designing, performing, and analyzing numerical experiments using WRF
· Involvement in related professional activities

To apply, go to and complete the form. Applicants must attach 1) a cover letter that includes a statement on commitment to diversity, equity, and inclusion; 2) a curriculum vitae; 3) contact information for three professional references; and 4) a statement of current research and research interests as the “Other Document”. Review of applications will begin on August 12, 2023; however, the search will continue until the position is filled.

The University of Nebraska-Lincoln (UNL) seeks to achieve a working and learning environment that is open to all people. Diversity is the hallmark of great institutions of learning and has long been one of the strengths of our society. Dignity and respect for all in the UNL community is the responsibility of each individual member of the community. The realization of that responsibility across the campus is critical to UNL’s success. The UNL Department of Earth and Atmospheric Sciences is committed is committed to creating learning, research, and work environments that are inclusive of all forms of diversity.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See