Water Data Science Postdoctoral Fellow
Company: Lawrence Berkeley National Laboratory
Posted on: November 17, 2020
Lawrence Berkeley National Lab s (LBNL) Earth and Environmental
Sciences Area has an opening for a Water Data Science Postdoctoral
Fellow to join the team.
In this exciting role, you will investigate the impacts of
hydrological disturbances, such as floods or droughts, on water
quality in different river corridors of the United States. You 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
You will be responsible for integrating large temporal and spatial
watershed datasets, conducting analysis using statistical, wavelet,
and pattern recognition techniques, and implementing
machine-learning models to predict stream water quality at local to
regional scales. You will also involve building a data-driven
framework that will enable reproducible generation and analysis of
integrated watershed datasets. Solutions developed within the
postdoctoral project will ultimately enable better predictions of
water quality responses to extreme hydrological perturbations.
What You Will Do:
Develop and use data-driven models to understand river water
quality response and resilience to hydrological perturbations at
multiple scales, from reach to watershed to regional scales.
Integrate and analyze complex datasets including high-resolution
climate and spatial watershed datasets with measurements of river
discharge, water quality.
Research and develop approaches for machine learning-based modeling
of water quality and extracting patterns in the data using
statistical, wavelet, classification, or other data mining
Contribute to building a Python-based framework for water quality
data integration, analysis and prediction.
Author peer-reviewed conference or journal papers, and contribute
to grant proposals.
What is Required:
Ph.D. in Environmental Sciences/Engineering or other related
Prior experience with data analysis, modeling, machine learning, or
numerical optimization for watershed hydrology or
Theoretical understanding and application of data analysis methods
such as statistical techniques, signal processing, pattern
recognition, or data-informed mathematical modeling.
Excellent written and oral communication skills, with an
established record of peer-reviewed publications
Commitment to open science, open data, and implementing
maintainable and reusable software/data products for broader
Experience working with datasets used in watershed or water quality
modeling (e.g. NHDPlus, climate drivers, stream
Prior analyses or modeling of extreme events such as
Experience with using traditional and deep machine learning methods
such as methods for time series analysis, classification, and
Familiarity with libraries, frameworks, or workflow tools that
enable data analytics and machine learning (e.g., NumPy, Pandas,
Scikit-learn, Keras, Tensorflow, Jupyter Notebooks).
Programming experience with Python (preferred) or R.
To be considered, please include the following to your online
Cover Letter: 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.
3 References: Provide contact information for three professional
references with whom we may communicate regarding your work and
For full consideration, please apply by December 17, 2020.
This is a full-time, 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
This position is represented by a union for collective bargaining
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.
Keywords: Lawrence Berkeley National Laboratory, Berkeley , Water Data Science Postdoctoral Fellow, Other , Berkeley, California
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