Postdoctoral Scholar - Environmental Streamflow Modeling - ESPM; Ecosystem Sciences - Grantham Lab
Listed on 2025-12-07
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Research/Development
Data Scientist, Research Scientist
Position overview
Salary range:
The UC Postdoc Salary scales set the minimum pay determined by experience level current salary scale shows a full‑time salary estimate for this position of $69,073–$77,030. (Link: https://(Use the "Apply for this Job" box below).)
Percent time: 100%
Anticipated start:
Spring 2026
Position duration: 2 years with possibility of extension based on performance and funding.
Application WindowOpen date:
December 4, 2025
Next review date:
Friday, Dec 19 2025 at 11:59 pm (Pacific Time). Apply by this date for full consideration.
Final date:
Friday, Jan 9 2026 at 11:59 pm (Pacific Time). Applications after the review date will only be considered if the position is not yet filled.
Postdoctoral Scholar – Environmental Streamflow Modeling – ESPM (Ecosystem Sciences) – Grantham Lab. The department of ESPM at UC Berkeley seeks a Postdoctoral Scholar to lead the development of statewide hydrologic models to predict seasonal flow dynamics in California streams.
Position DutiesUnder the mentorship of the PI, the candidate will compile datasets, develop a hydrologic modeling approach to predict natural streamflow, evaluate model uncertainty, and build reproducible and transparent modeling frameworks. The candidate will lead preparation of peer‑reviewed manuscripts and have opportunities to pursue independent research. The candidate will interact extensively with project partners in the California Environmental Flows Framework and be based at UC Berkeley in the Department of Environmental Science, Policy, and Management, with opportunities to collaborate with researchers at the Eric and Wendy Schmidt Center for Data Science and the Environment.
Specificresponsibilities
- 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, remote and in‑person
- Present results at regional, national, and international conferences
- Prepare at least one manuscript for submission to a peer‑reviewed journal
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Department/
QualificationsBasic qualifications:
Ph.D. or equivalent, or enrollment in a Ph.D. program.
Additional qualifications:
Ph.D. required by appointment start date; no more than three years of post‑degree research experience by start date.
Preferred qualifications:
background in stream hydrology, hydrologic modeling, data analytics, machine learning; strong data management; interest in open‑source software; expertise in environmental flow science; excellent communication and collaboration; strong publication record; compassionate, professional, reliable team player; effective communication and diplomacy.
- Curriculum Vitae – most recently updated CV.
- Cover Letter – 1‑2 page statement of interests and qualifications.
- 3 required (contact information only)
Apply link: /JPF
05228
Help contact: maryspenger
About UC BerkeleyUC Berkeley is committed to diversity, equity, inclusion, and belonging. The University is an Equal Opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
In searches when letters of reference are required, all letters will be treated as confidential and refer referees to the UC Berkeley statement of confidentiality.
Unless stated otherwise, this position does not include sponsorship of a new consular H‑1B visa petition that would require payment of a $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
Job locationBerkeley, CA
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