The Berkeley Lab's Energy Geosciences Division has an exciting opportunity for an Environmental Data Science Postdoctoral Fellow to investigate the impacts of streamflow disturbances, such as floods or droughts, on water quality in different river corridors of the United States.
In this role, you will be responsible for integrating large temporal and spatial datasets, conducting analysis using statistical, wavelet, pattern recognition techniques, and implementing predictive machine-learning models. The work will also involve building a data-driven framework that will enable reproducible generation and analysis of integrated watershed datasets. The successful candidate will work within a five-year project funded by the Department of Energy's Environmental Systems Science program to understand and predict watershed resilience to streamflow perturbations caused by extreme climate events, changes in land use, water management, or other disturbances.
The position offers an excellent environment for working with interdisciplinary teams consisting of environmental and computational researchers based at LBNL. LBNL is a renowned center of scientific expertise in many facets of fundamental and applied sciences related to the environment and water resources.
What You Will Do:
Develop and implement algorithms and data processing methods for repeatable integration and QA/QC of diverse temporal and spatial datasets of river discharge, water quality, watershed characteristics obtained from several federal sources including the DOE, USGS, NOAA, USDA, EPA.
Analyze data and extract patterns using statistical, wavelet, classification, or other data mining methods.
Research and develop machine learning approaches for data-driven modeling of water quality.
Contribute to building a Python-based framework for reproducible data analysis and prediction.
Author peer-reviewed conference or journal papers, and contribute to grant proposals.
What is Required:
Ph.D. in Environmental Sciences/Engineering, Computer Science, Data Science, Applied Mathematics, or other related technical disciplines.
Demonstrated experience with traditional and deep machine learning methods such as methods for time series analysis, classification, and prediction (particularly using neural networks).
Theoretical understanding and application of data analysis methods such as statistical techniques, signal processing, pattern recognition, or data-informed mathematical modeling.
Experience integrating large observational data sets from different sources, QA/QC of noisy datasets.
Programming experience with Python (preferred) or R.
What We Desire:
Familiarity with libraries, frameworks, or workflow tools that enable data analytics and machine learning (e.g., NumPy, Pandas, Scikit-learn, Keras, Tensorflow, Jupyter Notebooks).
Experience with Watershed to regional-scale analysis of hydrology/biogeochemistry in surface or groundwater.
Knowledge of problems related to water resources management.
Established record of publications or conference presentations.
Interest in open science, open data, and implementing maintainable and reusable software/data products for broader scientific use.
Requested Application Materials:
Cover Letter/Research statement: Include a cover letter introducing yourself, your application, and describing your interest in the position.
Curriculum Vitae/Resume: Either an academic CV or a resume is acceptable. Be sure to highlight technical skills, interests, and synergistic activities relevant to the position. Include links to software projects or public code repositories.
References: Provide contact information for three professional references with whom we may communicate regarding your work and your application.
The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on December 13, 2019.
This is a full time, M-F, exempt from overtime pay (monthly paid), 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 of 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:
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.
Working at Berkeley 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.
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: 88825
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.