You will develop and implement methodologies for monitoring and characterizing complex near-surface and surface ecosystem processes (e.g., plant traits/species/dynamics/evolution, soil biogeochemistry, hydrology) using remote sensing techniques (satellite/airborne/UAV), geophysics and ground-based measurements. You will work with a multi-disciplinary group of scientists to improve predictive understanding of coupled dynamics among hydrology, vegetation and biogeochemistry that are manifested from the plot to the watershed scales, and that is critical for understanding ecosystem functioning and carbon/nutrient cycling under climate change.
This role focuses on developing the methodology for (1) identifying co-variability among surface/subsurface processes, (2) integrating multiscale multi-type datasets, and (3) scaling critical ecosystem properties from point measurements to the watershed scale. The particular focus is on developing machine learning methods to fully integrate hyperspectral and LiDAR data for mapping plant traits across scales as well as on semi-automated identification of co-variability among datasets and their critical changes. The application areas include watershed science, water resources, and agriculture.
What You Will Do:
Process satellite/airborne/UAV-based multi/hyperspectral remote sensing, LiDAR-based remote sensing.
Analyze co-variability of remote sensing (e.g., optical images, LiDAR data for plants, topography) and subsurface measurements (e.g., geophysics, in situ soil sensors).
Develop new machine learning algorithms for extracting key information and understanding on plant-subsurface interactions from multi-type multiscale datasets, including remote sensing, geophysics, and soil/plant samples.
Lead interdisciplinary field campaigns including UAV, geophysics, and soil/plant sampling.
Identify and develop new research areas and proposals.
Engage as a member of a large, multidisciplinary research team that includes geochemists, hydrologists, and computational scientists.
Engage agricultural industry people and farmers for growing agro-ecosystem applications.
Author peer-reviewed journal articles and technical reports.
What Is Required:
Ph.D. in environmental engineering/science, ecology, electrical engineering, and computer science, or equivalent discipline; or equivalent work experience.
Familiarity with relevant software: GIS (e.g., ArcGIS, QGIS), remote sensing data processing (e.g., ENVI, Google Earth Engine), and machine learning (e.g., TensorFlow, R).
Familiarity with state-of-the-art field sensors and platforms such as RTK GPS, in situ soil moisture/temperature sensors, hyperspectral sensors, and UAVs.
Familiarity with frontier agroecology and watershed concepts.
Ability to identify and develop new research areas and proposals.
Ability to collaborate with a multidisciplinary team of scientists.
Ability to author peer-reviewed journal publications and technical reports.
Additional Desired Qualifications:
Proposal development experience (either success/fail).
Postdoctoral experience (>3 years).
Team science research experience.
International research exposure.
Requested Application Materials:
Curriculum Vitae and publication list.
Statement of research experience and interests.
List of three references (Names and contact information for at least three references (at least two external to the Lab and UCBerkeley)).
The posting shall remain open until the position is filled.
This is a full time, 2 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
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.
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 thePay Transparency Nondiscrimination Provisionunder 41 CFR 60-1.4. Clickhere to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 89311
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.