Postdoctoral Scholar in Water Supply Forecasting and Decision-Support System
The Department of Civil and Environmental Engineering at the University of California, Merced invites applications for a Postdoctoral Research Scholar in water supply forecasting and decision-support system.
We are looking for a motivated postdoctoral researcher interested in a project aimed at improving water supply forecasting through high resolution precipitation estimates and vegetation parametrization. The project will involve blending ground-based and remotely sensed data to setup, parametrize, and independently validate land surface models for climate and land cover change impact analysis. Additionally, develop an operational model to provide sub-seasonal and seasonal snowpack and streamflow forecasts for water resources management. The modeling activities will help develop a web-based water information system and decision-support tool.
The postdoctoral scholar will primarily work with Professor Safeeq Khan at the Department of Civil and Environmental Engineering, UC Merced. There will be opportunities to collaborate widely across other research groups at UC Merced and other UC campuses including UC ANR.
The candidate should have a strong geospatial analytical and hydrological modeling and forecasting skills, preferably over large geographic regions. Background in computer programming and web application development are also required. Experience in high-performance computing is preferable. Responsibilities will include setting a land surface model and running what-if scenarios, developing water information system and decision-support tool, and leading peer-reviewed publications. Minimum qualifications include a Ph.D. (at time of appointment), in Agricultural Engineering, Civil Engineering, Earth Systems Science or a related field from an accredited university. Interested applicants are required to submit 1) a cover letter indicating research interests and experience, 2) curriculum vitae, and 3) a list of three references with contact information including mailing address, phone number and e-mail address submitted through AP Recruit during the application process.
Salary is based on the University of California Academic Salary Scales. This is a full-time, one-year appointment with the possibility of renewal based on availability of funding, ongoing operational needs and satisfactory performance. Review of applications will begin on 10/21/20; position is open until filled with a final closing date of 11/1/20. Starting date is negotiable but aims for November 16, 2020.
For more information, please contact Prof. Safeeq Khan at email@example.com.
The University of California is an Equal Employment Opportunity/Affirmative Action employer and invites applications from all qualified applicants, including women, minorities, veterans, and individual with disabilities, who will enrich the teaching, research and public service missions of the university. All qualified applicants will be considered 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, see: UC Nondiscrimination & Affirmative Action Policy (https://policy.ucop.edu/doc/4000376/DiscHarassAffirmAction).
The University of California, Merced, is the newest of the University of California system’s 10 campuses. With 8,500 undergraduate and graduate students (https://www.ucmerced.edu/fast-facts), UC Merced provides outstanding educational opportunities to highly qualified students from the heart of California, the nation, and abroad. The campus has special connections to nearby Yosemite National Park; is on the cutting edge of sustainability in construction and design; and supports the economic development of Central California. The Merced 2020 Project doubled the physical capacity of the campus, and enhanced academic distinction, student success, and research excellence (https://merced2020.ucmerced.edu/).