Open position: Post Doc – Land Surface/Hydrologic Modeling

Job Title: Post Doc Fellow I – Land Surface/Hydrologic Modeling
Location: Boulder, Colorado
Type: Full-time, Exempt
Position Term: 2 years with the possibility of extension.
Application Deadline: This position will be posted until July 17th, 2020. Thereafter, applications will be reviewed on an as-needed basis.
Work Authorization: UCAR/NCAR will sponsor a work visa to fill this position.

Where You Will Work:

The structure of NCAR and UCAR—unique among the nation’s science disciplines—paves the way for innovation to bring impact to everyday life. NCAR’s research is unusually wide-ranging, from the flow of magnetism within the Sun to the flow of heat in the ocean. Much of NCAR’s work is carried out with collaborators at universities and labs across the nation and beyond, which further expands the breadth of the science.

The Research Applications Laboratory is one of seven laboratories within NCAR.  Its mission is to conduct directed research that contributes to fundamental understanding of the atmosphere and related physical, biological, and social systems; to support, enhance, and extend the capabilities of the scientific community; and to develop and transfer knowledge and technology for the betterment of life on Earth.

The main goal of the Hydrometeorological Applications Program is to provide relevant information to high-impact weather, flood warning, and water resource decision makers through directed and basic research and development in hydrometeorology, aerosol-precipitation interactions, very short term precipitation nowcasting, cloud microphysical modeling, and winter weather.

What You Will Do:

This is a new, full-time, 2-year term position.  The new hire will conduct research on understanding the land-atmospheric interactions and developing land-surface and hydrology models. This research will involve scientific investigations of impacts of fine-scale land-atmosphere interactions on regional weather and hydroclimate, the development of community land-surface Noah-MP model, and the enhancement to the coupled WRF-Urban and WRF-Crop models.