(Job Number=IRC45697) (Salary Range: $73,000 -­‐ 87,000 based on experience)

The Computational Earth Science Group in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory has an immediate opening for a creative and resourceful postdoc candidate with a substantial knowledge in theory, modeling and analyses of fluid flow and contaminant transport in geologic media to join our Subsurface Flow and Transport (SFT) Team. She/he will work on developing and applying novel theoretical and computational methods for simulation and analysis of computationally intensive models of flow and transport in geologic media. The research will involve development and application of parallel computational tools building on already existing software (e.g., MADS,, and PFLOTRAN, The model analyses will include model calibration against large data sets, parameter estimation, uncertainty quantification, risk assessment, evaluation of remedial scenarios, and decision support. The research is expected to produce a series of peer-reviewed publications in high-impact journals. The term of the appointment is 2 years, with the option to extend to a third year depending on the performance and funding availability. Candidates may be also nominated for a Director's LANL Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines LANL Distinguished Fellowships. For general information about the application processes and the LANL fellowships refer to the LANL Postdoctoral Program page.

EES employs about 300 people, including many postdoctoral associates and graduate students, with expertise in various facets of earth science. The successful candidate will join dynamic and interdisciplinary Subsurface Flow and Transport (SFT) Team that includes more than 20 researchers working on projects related to strategic national- interest problems dealing with energy and environmental security. SFT works towards development of strategic scientific capabilities to address challenging issues related to energy and water production, carbon capture and sequestration, waste disposition and storage, and restoration of contaminated sites. Many of LANL projects address the nation’s most challenging subsurface flow systems, which involve multi-scale/multi-phase physics, fractured-rock flow and transport, and challenging geothermal, geochemical and geomechanical interactions. The research includes active collaborations with universities and other national laboratories. The projects also include extensive research work related to high-performance computing. The successful candidate will interact with researchers and application-oriented scientists on this team as well as in other earth sciences, computing, and engineering groups. Access will be provided to advanced numerical simulation codes and state-of-the-art computing facilities within EES and at LANL.

Minimum Job Requirements: Applicants must have:

(1)theoretical understanding of processes related to fluid flow and contaminant transport in geologic media,

(2)experience in analysis and application of numerical models of flow and contaminant transport in geologic media,

(3)strong applied math and computational skills,

(4)code development and computational background in using high-performance parallel computing resources,

(5)demonstrated record of peer-reviewed publications,

(6)excellent communication, writing and oral presentation skills, and

(7)fluency in one or more programming languages including high-level dynamic languages.

Desired Skills: Preference will be given to applicants with experience in:

(1)conceptualization and simulation of biogeochemical processes in geologic media,

(2)remediation of groundwater contamination sites,

(3)model calibration, parameter estimation, uncertainty quantification, risk assessment, evaluation of remedial scenarios, or decision support,

(4)characterization of stochastic processes and geostatistics related to heterogeneity of geologic media,

(5)use of version control systems such as git (,

(6)programming in Julia (, and

(7)model and data visualization using tools such as Petrel, EarthVision, ParaView or Visit.

Education: A Ph.D. in Hydrology, Hydrogeology, Geosciences, Applied Math, Statistics, Computational Sciences, Physics or Engineering completed within the last five years or soon to be completed is required.

Notes to Applicants: For further information, check out program/index.php. LANL offers an excellent working environment and competitive compensation and benefits package. Additional information about this position and the Subsurface Flow and Transport team can be obtained by contacting Dan O’Malley (, +1 505 667-8684) and Velimir V Vesselinov (, +1 505 665-1458). For general information about the application processes refer to the LANL Postdoctoral Program page.

Pre-Employment Drug Test: The Laboratory requires successful applicants to complete a pre-employment drug test and maintains a substance abuse policy that includes random drug testing.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. We welcome and encourage applications from the broadest possible range of qualified candidates. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to or call 1-505-665-5627.

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