Postdoc: Integrated Hydrologic Modeling in Mountain Watersheds

Lawrence Berkeley National Laboratory; Berkeley (CA); On-site; USD 76,000 - 103,000; Full time

Benefits offered by this job

Health benefits

Retirement plan

Paid time off

Job summary

Lawrence Berkeley National Laboratory invites applications for a Postdoctoral Scholar in Integrated Hydrologic Modeling. Join an interdisciplinary team to develop 3D watershed models using ATS-EcoSIM and HPC datasets, focusing on snowpack, forest interactions, and energy–water budgets.

The role demands a PhD in hydrology or related fields, strong HPC and scripting skills, and a track record of published work. Start date Jan 4, 2027. On-site in Berkeley, CA.

Qualifications

• Ph.D. in hydrology, civil, environmental engineering, or a related field.
• Experience with numerical hydrologic models and land surface models.
• Experience with Linux on cluster and HPC environments.
• Experience manipulating large datasets with scripting languages such as Python or compiled languages such as C++ and Fortran.
• Experience implementing workflows with API wrappers and software such as Jupyter, R, or Python notebooks.
• Ability to collaborate with a multidisciplinary team and publish peer‑reviewed work.

Responsibilities

• Develop integrated hydrologic models of mountainous watersheds and perform high‑fidelity simulations.
• Collaborate with scientists across multiple disciplines.
• Generate and synthesize large datasets from high‑performance computing workflows.
• Author peer‑reviewed journal articles and technical reports.

Skills

HPC modeling

Python

C++

Fortran

Jupyter notebooks

R

AI-agents

Education

Ph.D. in hydrology, civil, environmental engineering, or related field

Tools

ATS-EcoSIM

Linux cluster

High-Performance Computing

Job description

Lawrence Berkeley National Laboratory invites applications for a Postdoctoral Scholar in Integrated Hydrologic Modeling. Join an interdisciplinary team to develop 3D watershed models using ATS-EcoSIM and HPC datasets, focusing on snowpack, forest interactions, and energy–water budgets.

The role demands a PhD in hydrology or related fields, strong HPC and scripting skills, and a track record of published work. Start date Jan 4, 2027. On-site in Berkeley, CA.