In this exciting role, you will develop novel methodologies for improving the quantification and understanding of heat and water fluxes in the Arctic and snow-dominated environments using sensor networks and remote sensing data. You will work with a multi-disciplinary group of scientists to advance the predictive understanding of subsurface and surface hydro-biogeochemical dynamics. Your focus will be on:
Developing novel methodologies for integration of time-series of soil, snow, surface, and atmospheric properties at sensor network locations into inverse modeling and/or assimilation approach to improving the estimation of heat and water fluxes.
Coupling sensor network information with remote sensing data to provide improved prediction of subsurface fluxes at relevant scales using mechanistic and/or machine learning models. The methodology will be used to improve the prediction of how current and future changes in snow and/or permafrost dominated environments will change water and energy fluxes, land-atmosphere exchanges, and related biogeochemical fluxes.
What You Will Do:
Advance the integration of hydrological and geophysical data in physically-based models or machine learning algorithms for extracting key information and quantifying and predicting hydrological processes.
Couple multiple types of data to improve spatiotemporal resolution and coverage of parameter estimations and predictions.
Engage as a member of a large, multidisciplinary research team that includes geochemists, hydrologists, and computational scientists.
Author peer-reviewed journal articles.
What Is Required:
Ph.D. in environmental engineering/science, hydrology, geophysics, geology, electrical engineering, and computer science, or equivalent discipline; or equivalent work experience.
Peer-reviewed publications and international research exposure.
Understanding of surface and subsurface geophysical and hydrological processes.
Demonstrated experience in the development of new methodologies for improved understanding and quantification of shallow subsurface processes.
Familiarity with modeling and inverse-modeling of hydrological properties and/or data-driven prediction of hydrological processes.
Ability to author peer-reviewed journal publications.
Ability to bringing innovative ideas and developing novel approaches.
Required Materials (Please attach to your online application):
Statement of research experience and interests (Optional, 2-page maximum)
Cover letter (2-page maximum)
List of three references
The posting shall remain open until the position is filled.
This is a full time, exempt (monthly paid) from overtime pay, 2 year postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post-degree.
This position is represented by a union for collective bargaining purposes.
Salary will be predetermined based on postdoctoral step rates.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Learn About Us:
Working atBerkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab-Click Here.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provisionunder 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law." Berkeley Lab is committed toInclusion, Diversity, Equity and Accountability (IDEA) and strives to hire individuals who share these same values and commitments.
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Internal Number: 91239
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.