hydrologic modeling and data assimilation

Friday, September 2, 2016
Job Type: 
Job Rank: 
post-doctoral fellow
Job Institution: 
University of California, Berkeley
Job Description: 

We have an opening for a hydrologic modeling and data assimilation Post-Doctoral Fellow. The research will involve integrating real-time field and satellite blended products into the PRMS hydrologic model used by PG&E, and update the model to use the detailed real-time data and determine the financial benefit of using the improved field data.  The work will be completed working with a hydrologic modeler at PG&E as well as researchers at UC Berkeley and Merced. The scholar will prepare manuscripts and reports based on the research.

 

We have been awarded a large research project from the California Energy Commission to work with PG&E and the Department of Water Resources to develop an intelligent water information system for the North Fork of the Feather River.  Instrumentation includes three large wireless sensor networks for real-time data, LiDAR flights, and satellite data. The position is up to four years.  PIs: Profs. Steven Glaser (UCB), Roger Bales (UCM) and Martha Conklin (UCM).  The researcher will be based at UC Berkeley and paid a competitive salary.

 

Qualifications:
Ph.D. in hydrology, civil engineering or closely related field with a strong background in hydrologic modeling.  Successful candidates will have excellent written and oral communication skills in English, good organizational and interpersonal skill and be capable of working in a team environment and effectively interact with a broad range of colleagues, graduate and undergraduate students as well as work independently.