Job Listing ID:

4563466

Job Title:

Post Doctorate Research Associate - Computational Hydrology

Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

09/04/2026

Hours Worked Per Week:

Not Provided

Shift:

Not Provided

Duration of Job:

Either Full or Part Time, more than 6 months

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Job Summary Overview At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget. Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus. The?

Energy and Environment Directorate?delivers?science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system; and resolving complex issues in nuclear science, energy, and environmental management. The?

Earth Systems Science Division, part of the Energy and Environment Directorate, provides leadership and solutions that advance Earth system opportunities for energy systems and national security. We are a multidisciplinary division connected by a shared commitment to innovate and collaborate towards solving complex problems in the dynamic Earth system. Responsibilities The successful candidate will contribute to research in subsurface flow and transport modeling, hydrogeology, and machine learning for environmental systems. The role will focus on developing and applying computational approaches for groundwater flow, contaminant fate and transport, and related subsurface processes. Research may include integration of model-generated and observational data, uncertainty quantification, inverse modeling, surrogate modeling, and optimization to support environmental remediation and decision support. The position will involve collaboration with interdisciplinary researchers across subsurface science, computational science, geoscience, and environmental management.

Responsibilities include:

Conduct research in subsurface flow and transport modeling, hydrogeology, and machine learning for environmental systems. Develop and apply computational approaches for groundwater flow, multiphase transport, and reactive transport in porous and fractured media, including PFLOTRAN/STOMP-based or related modeling workflows where appropriate. Integrate model-generated and observational data to support calibration, inversion, uncertainty quantification, and predictive analysis for subsurface systems. Contribute to the development of reduced-order, surrogate, and physics-informed machine learning methods for environmental and geoscience applications. Support research relevant to environmental remediation, including subsurface characterization, contaminant fate and transport, monitoring interpretation, and optimization-informed decision support. Collaborate with interdisciplinary researchers across subsurface science, computational science, geoscience, and environmental management. Publish results in peer-reviewed journals and present findings in technical meetings and conferences. Primarily office and computer-based research environment. May involve limited visits to laboratory, field, or site environments in support of project activities. Any field or site work would be conducted in accordance with applicable safety and training requirements. Although this positio... Computer and Information Research Scientists

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Compensation

Not Provided

Job Requirements

Experience Required:

See Job Summary

Education Required:

None

Minimum Age:

N/A