Organization and Job ID
Job ID: 310791
Directorate: Energy and Environment Directorate
Division: Earth System Sciences
The Hydrology Group at the Pacific Northwest National Laboratory develops resilient and sustainable solutions for complex, national and global scale challenges in energy and water systems using advanced computational modeling, sensor development and deployment, and novel geospatial and data analytics. We seek subsurface scientists who are able to lead research in support of existing and emerging federally funded programs focused on characterization, initiation, and control in subsurface environments. This includes application areas of environmental management and remediation, subsurface reservoir engineering, and subsurface energy.
Successful candidates will be responsible for software tool development for a number of subsurface hydrologic applications. Such applications include employing physic- based machine learning algorithms for carbon sequestration and incorporating geo-based knowledge into multiphase flow reservoir simulators. The successful candidate will be required to prepare manuscripts for publication and present their work both internally and externally at national conferences. The successful candidate will be comfortable working with a diverse set of research staff and project tasks, and possess the appropriate analytic, task management, and communication skills (both oral and written) to clearly articulate the objectives and outcomes of their research.
BS/BA with 5 years of experience
MS/MA with 3 years of experience
PhD with 1 year of experience
PhD in technically relevant discipline (e.g., environmental engineering, hydrogeology, or related) with experience in conceptual and computational modeling.
Experience with contaminant transport, computational fluid dynamics, enhanced geothermal systems, sequential inversion, geomechanics, time-series analysis.
Experience with predictive modeling of damage/healing of materials and structures, damage sensing and prognosis, data processing at sensor (edge computing).
Experience with reduced-order modeling, machine learning, deep learning, structure-preserving methods, multiscale finite element and finite volume methods.
Experience with subsurface flow and solute transport models (e.g., STOMP, TOUGH2, MODFLOW, etc.).
Fluency in one or more programming and scripting languages (e.g., FORTRAN, PYTHON, R)
Demonstrated success of articulating research through publications and presentations
Prior research experience at a National Laboratory
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment.
Directorate: Energy & Environment
Job Category: Engineering/Engineering Techs
Opening Date: 2020-04-27
Closing Date: 2020-05-26