Postdoctoral Scholar Environmental Streamflow Modeling ESPM; Ecosystem Sciences - Grantham Lab
Listed on 2025-12-13
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Research/Development
Data Scientist, Research Scientist -
Science
Data Scientist, Research Scientist
Postdoctoral Scholar Environmental Streamflow Modeling ESPM (Ecosystem Sciences) - Grantham Lab
Join the Grantham Lab at the University of California, Berkeley to advance environmental streamflow modeling and contribute to the California Environmental Flows Framework.
Position OverviewLead the development of statewide hydrologic models to predict seasonal flow dynamics across California's streams, evaluate model uncertainty, and build reproducible, transparent modeling frameworks.
Salary RangeA reasonable full‑time salary estimate for this position is $69,073‑$77,030, based on UC Postdoc Salary scales.
Percent Time100 %
Anticipated StartSpring 2026
Position Duration2 years, with the possibility of extension based on performance and funding availability.
Application Window- Open date:
December 4, 2025 - Next review date:
Friday, Dec 19, 2025 at 11:59 pm (Pacific Time) - Final application date:
Friday, Jan 9, 2026 at 11:59 pm (Pacific Time)
The Department of Environmental Science, Policy, and Management seeks a Postdoctoral Scholar to work with the Grantham Lab in quantifying and implementing environmental flows in California rivers.
Position DutiesUnder the mentorship of the PI, you will:
- Compile relevant datasets and develop hydrologic modeling approaches to predict natural streamflow across California’s stream network.
- Evaluate model performance and quantify uncertainty.
- Build reproducible and transparent modeling frameworks and data pipelines.
- Lead preparation of peer‑reviewed manuscripts and pursue independent research lines.
- Collaborate with partners on the California Environmental Flows Framework and with researchers at the Eric and Wendy Schmidt Center for Data Science and the Environment.
- Collate, clean, and assimilate data from publicly available sources.
- Design, execute, and implement streamflow models for California rivers.
- Evaluate model prediction performance and uncertainty.
- Generate streamflow predictions for rivers.
- Develop robust and transparent modeling framework and data pipelines.
- Participate in regular research team meetings, including remote and in‑person.
- Present results via presentations at regional, national, and international academic conferences.
- Prepare at least one manuscript for submission to a peer‑reviewed journal.
- Ph.D. or equivalent international degree, or enrollment in a Ph.D. (or equivalent) program.
- Ph.D. (or equivalent international degree) required by the appointment start date.
- No more than three years of post‑degree research experience by the start date.
- Strong background in stream hydrology, hydrologic modeling, and data analytics, including machine learning and deep learning for time series prediction.
- PhD in hydrology, water resources engineering, environmental sciences, data science, or a related field.
- Proven expertise in streamflow modeling and statistical/physically based methods.
- Exceptional data management and analysis skills, including advanced statistical methods and computer programming.
- Experience with machine learning methods, including deep learning for time series analysis and streamflow prediction.
- Experience or interest in learning open‑source software design, data curation practices, and environmental flow science.
- Excellent communication skills and ability to collaborate with a broad range of research and management partners.
- Strong track record of scholarly publications and academic contributions.
- Compassionate, professional, and reliable team player who values healthy relationships with colleagues, collaborators, and stakeholders.
- Strong communication and diplomacy skills to give and receive feedback, celebrate successes, and constructively confront challenges.
- Curriculum Vitae (most recently updated C.V.)
- Cover Letter – concise 1‑2 pages describing your interests and qualifications.
- 3 required references (contact information only).
Berkeley, CA
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05228
maryspenger
Equal Opportunity Employer StatementUC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service. We are an Equal Opportunity 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. Refer to the University of California’s policies on affirmative action, anti‑discrimination, and confidentiality of letters of reference for further details.
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