Los Alamos National Laboratory Pore-Scale Reactive Transport Modeling Postdoc in Los Alamos, New Mexico

What You Will Do_

The Computational Earth Science Group (EES-16) within the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) is seeking outstanding post-doctoral candidates in the area of pore-scale reactive transport modeling. This postdoc will improve our fundamental understanding of actinide-water interactions in high pressure-temperature (P-T) environments at the nano/meso-scale by enhancing LANL-developed pore-scale reactive transport modeling capability and applying it to the simulation of solute-to-nanoparticle-to-solid continuum of actinide phases. The pore-scale model will take results from experimental measurements and finer-scale simulations as input and provide detailed information on the concentration of aqueous actinide species, the composition of actinide solids, reaction rates, solid/pore structure, as well as their evolution with time; a series of parametric studies will be conducted to investigate the effects of speciation, solubility, and stability of actinides at high P-T aqueous conditions. A successful applicant should have a strong background in flow and transport in porous media, numerical methods, code development, and high-performance computing. This position will require strong communication skills to interact with a multidisciplinary, integrated team. The successful applicant will be expected to publish results in peer-reviewed journals and present their work at national and international conferences.

What You Need

Minimum Job Requirements:

Candidates with a strong background/experience in the following areas are invited to apply:

  • Proven experience in flow and transport in porous media.

  • Proven experience in Computational fluid dynamics.

  • Demonstrated proficiency in scientific programming languages such as C, C++, Python, Julia, or Fortran.

  • Proven experience in Code development

  • Proven experience in High-performance computing.

  • Outstanding track record of peer-reviewed publications.

  • Excellent written and oral communication skills as evidenced by publications, presentations, and the cover letter.

Desired Skills:

  • Pore-scale reactive transport modeling experience

  • Proven experience in using Lattice Boltzmann method

  • OpenFOAM experience

  • Matlab, Paraview/VisIt experience

  • Existing knowledge or background in the application areas of energy, environmental, and national & global security

Education: A Ph.D. in Earth Science, Hydrology, Applied Math, Computational Sciences, Physics, Mechanical Engineering, Chemical Engineering or a closely related field is required. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within 5 years of completion of the Ph.D.

Notes to Applicants:

This position will be filled as soon as possible. Interested applicants are encouraged to apply immediately. Preference will be given to applicants who have the ability to obtain a Q clearance which typically requires U.S. citizenship. Initial postdoc appointments are for two years and are renewable for a third year. In addition to applying online, please e-mail CV with a detailed publication list, a one-page cover letter detailing research experience and qualifications for the position advertised, and names and addresses of four references to Dr. Qinjun Kang qkang@lanl.gov.

Additional Details:

Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.

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

Candidates may be considered for a Director's Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.

For general information go to Postdoc Program.

Equal Opportunity:

Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. 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 applyhelp@lanl.gov or call 1-505-665-4444 option 1.

Where You Will Work_

Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.

The Computational Earth Science Group (EES-16) is composed of two teams, Subsurface Flow and Transport (SFT) team and Applied Terrestrial Energy and Atmospheric Modeling (ATEAM) team. The Group is characterized by a combination of basic and applied research, leading to the development of novel and integrated modeling (including high performance modeling) and analysis capabilities that are utilized to address practical problems for sponsors including DOE, other federal agencies, and a variety of industries.

Location: Los Alamos, NM, US

Organization Name: EES-16/Computational Earth Science

Job Title: Pore-Scale Reactive Transport Modeling Postdoc

Appointment Type: Postdoc

Req ID: IRC66794