Postdoc: High-Res Mountain Hydrology & Modeling

Lawrence Berkeley Labs

Berkeley (CA)

On-site

USD 76,000 - 103,000

Full time

9 hours ago
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Job summary

Lawrence Berkeley National Laboratory in Berkeley, CA seeks a Postdoctoral Scholar to develop and apply three-dimensional hydrologic models of headwater systems in the Upper Colorado River basin. You will work with a diverse team to study disturbance, land cover change, and hydroclimate effects on the water-energy budget, leveraging ATS-EcoSIM and large observation datasets.

You will perform high-fidelity simulations, analyze outputs, and contribute to peer-reviewed publications while expanding

Qualifications

  • Ph.D. in hydrology, civil, environmental engineering, or related field.
  • Experience with numerical hydrologic models and land surface models.
  • Experience with Linux on cluster and HPC environments.
  • Experience handling large datasets with Python, C++, or Fortran.
  • Experience implementing workflows with API wrappers and tools like 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 using ATS-EcoSIM.
  • Collaborate with scientists across disciplines in mountain environments.
  • Generate and synthesize large datasets produced via high-performance computing.
  • Author peer-reviewed journal articles and technical reports.

Skills

Python
C++
Fortran
HPC

Education

PhD in hydrology/environmental engineering

Tools

ATS-EcoSIM
Jupyter

Job description

Lawrence Berkeley National Laboratory in Berkeley, CA seeks a Postdoctoral Scholar to develop and apply three-dimensional hydrologic models of headwater systems in the Upper Colorado River basin. You will work with a diverse team to study disturbance, land cover change, and hydroclimate effects on the water-energy budget, leveraging ATS-EcoSIM and large observation datasets.

You will perform high-fidelity simulations, analyze outputs, and contribute to peer-reviewed publications while expanding

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