Postdoctoral Scholar in Watershed Hydrology/Hydroinformatics


News / Wednesday, August 29th, 2018

Postdoctoral Scholar in Watershed Hydrology/Hydroinformatics

The Environmental Systems Dynamics Laboratory (http://esdlberkeley.com) at UC Berkeley seeks a postdoctoral scholar with expertise in data science and hydrology. The position is funded jointly through the Gordon and Betty Moore Foundation Data-Driven Discovery Program and a U.S. Geological Survey Powell Center for Synthesis grant. The position will be focused on using an information-theoretic approach to extract critical timescales over which meteorological and hydrological variables interact in watersheds, with an ultimate goal of improving the formulation of discharge forecasting models. The project will involve synthesis of data from experimental watersheds worldwide and analysis using a reproducible workflow. The successful applicant can expect to coordinate and collaborate with a large and multidisciplinary group of scientists to accomplish project goals. We seek someone with formal training in watershed hydrology, strong computing skills, familiarity with the tenets of reproducible data science, good writing skills, and an aptitude for leadership.

Salary and benefits will be commensurate with experience and conform to Berkeley policy (http://vspa.berkeley.edu/postdocs). The Berkeley Postdoctoral Association is a vibrant group that offers professional development programming and a seminar series.

Applicants should submit a cover letter detailing research interests and experience, curriculum vitae, 1-3 writing samples, and contact information for three references to Dr. Laurel Larsen (laurel@berkeley.edu). The start date is flexible, but with a preference for earlier dates. The cover letter should specify the applicant’s anticipated date of availability to start work. Review of applications will be conducted on a rolling basis until the position is filled. The ESDL is supportive of efforts to broaden participation in STEM and encourages applications from people with diverse backgrounds.