Subsurface Reactive Fate & Transport Modeling Scientist

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    "ExternalDescriptionStr": "<p>Savannah River National Laboratory (SRNL) is seeking a midcareer scientist with strong expertise in subsurface reactive fate and transport modeling to support research and mission-driven applications focused on environmental remediation, groundwater protection, and long-term stewardship at the Savannah River Site (SRS) and other DOE-managed lands.&nbsp;</p><p>The successful candidate will develop, apply, and communicate advanced numerical models to predict the coupled hydrologic, geochemical, and biological processes governing contaminant behavior in complex subsurface environments. This role supports SRNL’s mission to deliver credible science-based solutions that ensure the protection of human health and the environment.</p><p>The position involves technical leadership, collaboration across multidisciplinary teams, mentoring of early-career staff, and direct interaction with DOE customers and regulatory stakeholders.</p>",
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    "ExternalPostedStartDate": "2026-04-10T15:13:48+00:00",
    "ExternalQualificationsStr": "<p><strong>Minimum Qualifications:</strong></p><ul style=\"list-style-type: disc;\"><li>Ph.D. in Hydrogeology, Geosciences, Environmental Engineering, Chemical Engineering, Civil Engineering, or related field with 6-8+ years of relevant experience; or M.S. with 8-10 years of relevant experience.&nbsp;</li><li>Ability to obtain and maintain security clearance; U.S. citizenship is legally required.&nbsp;</li><li>Demonstrated experience developing and calibrating reactive fate and transport models for groundwater or vadose-zone systems.&nbsp;</li><li>Strong foundation in aqueous geochemistry and subsurface flow and transport processes.&nbsp;</li><li>Proficiency in Python (preferred), MATLAB, or R for model pre- and post-processing.&nbsp;</li><li><p>Experience preparing technical reports and communicating results to technical and non-technical audiences.&nbsp;</p><p>&nbsp;</p></li></ul><p><strong>Preferred Qualifications:</strong></p><ul style=\"list-style-type: disc;\"><li>Experience with HPC environments, parallel computing, containers, or cloud-ready workflows.&nbsp;</li><li>Background in geostatistics, stochastic modeling, or Bayesian methods.&nbsp;</li><li>Experience with contaminants relevant to DOE legacy sites (e.g., uranium, technetium, strontium, cesium, nitrate, chlorinated solvents, PFAS).&nbsp;</li><li>Familiarity with DOE Orders, CERCLA, and other environmental regulatory frameworks.&nbsp;</li><li>Experience with reduced-order modeling, machine learning integration, or physics-informed ML methods.&nbsp;</li><li>Experience supporting or leading DOE-funded R&amp;D programs.&nbsp;</li><li><p>Knowledge of GIS tools (ArcGIS/QGIS), geospatial analysis, and database management.</p><p>&nbsp;</p></li></ul><p><strong>Work Environment &amp; Additional Requirements</strong></p><ul style=\"list-style-type: disc;\"><li>Position is based at SRNL within the Savannah River Site; hybrid work arrangements may be considered.&nbsp;</li><li>Occasional travel to project sites, conferences, or sponsor meetings (up to 10–15%).&nbsp;</li></ul>",
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    "OrganizationDescriptionStr": "SRNL’s Environmental &amp; Legacy Management (ELM) Directorate closely collaborates with the Department of Energy (DOE) and site contractors to develop, mature, and apply science and technology needed to resolve environmental challenges and advance legacy management missions. As the lead laboratory for Environmental Management (DOE-EM) and Legacy Management (DOE-LM), SRNL applies our talent and expertise to develop and deploy innovative approaches and technologies to reduce risk, cost, and schedule of environmental cleanup and nuclear material processing.&nbsp; Additionally, ELM is using our competencies to develop new materials and processes for a range of clean energy applications.",
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