[ES_JOBS_NET] Job Vacancy: post-master's student at Los Alamos National Laboratory

[Solander, Kurt C]

Computational Earth Science Post-Master's Student in Los Alamos, New Mexico
What You Will Do
The Computational Earth Science Group (EES-16; www.lanl.gov/EES-16 ) in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) is looking for an individual with a Master’s degree in Earth Science, Physical Science, Engineering, or Applied Math. The Post Master’s position would be a one year term with the possibility of being extended for up to two years.
Los Alamos National Laboratory’s EES-16 Group focuses on a broad array of energy, environmental, and national security challenges including:

  *   Energy: carbon sequestration, geothermal energy, wind energy, unconventional oil & gas, energy-water nexus, nuclear energy, energy storage, and energy infrastructure.
  *   Environment: groundwater simulation and hydrogeology, climate impacts and extreme events, surface hydrology, atmosphere interactions, urban and wildland fire, and environmental remediation.
  *   National & global security: non-proliferation, and regional instability.
The Computational Earth Science Group addresses these challenges using multiple computational techniques and simulation tools including computational fluid dynamics (CFD), machine learning, reduced-order modeling, massively parallel high performance computing (HPC), data analytics, physics-based models of the environment, hydrological models, GIScience/GIS, and operations research/optimization. The Group’s research includes both fundamental and applied science ranging from subsurface to atmospheric phenomena, including collaboration with experimentalists to measure unique subsurface, surface, and atmospheric signatures.
The successful applicant will be expected to work as a member of our team and assist staff in carrying out a broad spectrum of tasks related to ongoing projects.
What You Need
Minimum Job Requirements:

  *   Demonstrated experience in setup, execution, monitoring, and/or postprocessing physics-based process models for science or engineering applications.
  *   Demonstrated fluency in one or more programming languages (e.g. Python, R, C++, C, Julia, Fortran, Matlab, Mathematica).
  *   Demonstrated experience in software development.
  *   Demonstrated familiarity with Linux-based, Windows, and Mac operating systems.
  *   Demonstrated familiarity with visualization (e.g. Tecplot, ParaView, Visit, VTK) and/or mapping programs (e.g. ArcGIS, QGIS).
Desired Skills:

  *   Understanding of atmospheric processes, and/or surface and sub-surface hydrology.
  *   Understanding of flow and transport phenomena in natural systems.
  *   Understanding of hydrology modeling.
  *   Experience in software development as a member of a larger software development team
  *   Ability to obtain and maintain a DOE Q clearance. To obtain a clearance, an individual must be at least 18 years of age. U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
Education level and eligibility requirements:

  *   Master’s degree in Physical or Natural Science, or Engineering.
  *   Eligibility is limited to students who have completed a Master's degree within the past three (3) years, and have not yet been accepted into another Master's program or Ph.D. program.
  *   Appointments are for a maximum of two years.
  *   This position can qualify for benefits. Contact LANL HR-Benefits for complete information.
Interested candidates should submit a CV and a cover letter (2 pages or less) that addresses each of the required and desired job requirements and education eligibility. Your letter or CV should provide contact information for 2-4 references who are familiar with your capabilities as related to this job. Applicants with questions may contact Katrina Bennett, Team Leader of Applied Terrestrial Energy and Atmospheric Modeling at kbennett at lanl.gov<mailto:kbennett at lanl.gov>.

Additional Details:

No Clearance: 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.

For general program information refer to the Student Programs web page.

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 at lanl.gov<mailto:applyhelp at 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.

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Location: Los Alamos, NM, US

Contact Name: Duran, Andria M

Organization Name: EES-16/Computational Earth Science

Email: amduran at lanl.gov<mailto:amduran at lanl.gov>

Job Title: Computational Earth Science Post-Master's Student

Appointment Type: GRA

Req ID: IRC67988
Please access link for more information and to apply: <https://lanl.jobs/los-alamos-nm/computational-earth-science-post-masters-student/04e9fbec59974732a5138b90e10476df/job/>



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