Lawrence Berkeley National Lab's (LBNL) Climate & Ecosystems Division has an opening for a postdoctoral scholar, characterizing ecosystem functioning and carbon and nutrient cycling across terrestrial-aquatic interfaces based on a suite of remote sensing data and data analytics (machine learning) tools.
Department of Energy's Coastal Observations, Mechanisms, and Predictions Across Systems and Scales (COMPASS) project is a multi-institutional endeavor focused on understanding and predicting the transformations and fluxes of carbon and nutrients as they are exchanged across terrestrial-aquatic interfaces. Field- and lab-based understanding is developed in close integration with modeling needs and advances. Research spans both seawater- and freshwater-influenced coasts. The research emphasis is primarily on terrestrial processes that are influenced by coastal waters. This project includes several national labs, and research institutions in both regions, affording the successful candidate the opportunity for exciting and diverse collaborations.
In this exciting role, the postdoc will be responsible for coordinating and integrating large temporal and spatial datasets from public remote sensing databases as well as the datasets collected by a diverse set of field teams working on carbon and nutrient cycling as well as hydrology and biogeochemistry. The primary task is focused on big and diverse data analysis, integration and scaling using machine learning techniques, and characterizing the spatiotemporal dynamics of coastal ecosystems and biogeochemical functioning.
What You Will Do:
Work collaboratively with a diverse group of teams across multiple labs and universities under the COMPASS project to integrate their datasets for the spatiotemporal characterization
Analyze data and extract patterns and correlations from remote sensing and other environmental datasets, using appropriate data mining methods.
Develop and implement ML based algorithms for integrating spatiotemporal datasets including remote sensing and ground-based measurements for ecosystem and biogeochemical characterization
Author peer-reviewed conference or journal papers, and contribute to grant proposals.
What is Required:
Ph.D. in Environmental Sciences/Engineering, Data Science, Applied Mathematics, Computer Science, or other related technical disciplines.
Experience and knowledge with environmental, ecological, and/or remote sensing datasets and research practices
Theoretical understanding and application of data analysis methods such as statistical techniques, signal processing, pattern recognition, or data-informed modeling.
Strong interest in advancing diversity, equity, and inclusion
Demonstrated ability to publish research in relevant journals
An ability to work independently and in an integrated team environment
Strong and effective oral and written communication skills.
Research experience in the coastal region
Familiarity with libraries, frameworks, or workflow tools that enable data analytics and machine learning (e.g., NumPy, Pandas, Scikit-learn, Keras, Tensorflow, Jupyter Notebooks).
Demonstrated record of publications and conference presentations.
Interest in collaborative research, open science and implementing maintainable and reusable software/data products for broader scientific use.
This position will remain open until filled.
This is a full-time, one-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 four years of paid postdoctoral experience.
Salary for Postdoctoral positions depends on years of experience post-degree.
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.
Diversity, equity, and inclusion are core values at Berkeley Lab. Our excellence can only be fully realized by faculty, students, and staff who share our commitment to these values. Successful candidates for our faculty positions will demonstrate evidence of a commitment to advancing equity and inclusion.
Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
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 Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.
Internal Number: 92281
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.