Applied Computational Postdoc, Los Alamos National Laboratory, USA

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Job description

What You Will Do

The Computational Earth Science Group (EES-16) in the Earth and Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) has an immediate opening for a creative and resourceful postdoc candidate with strong applied math and computational science skills.
The successful candidate is to join our Computational Earth Science Group; however, the work involves collaborations from other LANL groups and divisions. She/he will work on developing and applying novel methods and computational techniques for large dataset analyses based on machine learning methods. The work will be building on already existing software (e.g., MADS, mads.lanl.gov, and CHROTRAN, chtrotran.lanl.gov). 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 Darealene Christian Hoffman, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines LANL Distinguished Fellowships. For general information go to Postdoc Program .

What You Need

Minimum Job Requirements:

  • Strong applied math and computational science skills
  • Code development and computational experience in using high-performance parallel computing resources
  • Experience in data- or model-based analyses involving large datasets
  • Demonstrated record of peer-reviewed publications
  • Excellent communication, writing and oral presentation skills, and
  • Fluency in one or more programming languages including high-level dynamic languages.

Desired Skills

  • Model calibration and uncertainty quantification
  • Large dataset analyses
  • Application and development of machine learning methods
  • Quantum computing interests or experience
  • Theoretical understanding of processes related to fluid flow and contaminant transport in geologic media
  • Experience in analysis and application of numerical models of flow and contaminant transport in geologic media

Preference will be also given to applicants eligible for a security clearance. *Eligibility requirements: 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 : A Ph.D. in Applied Math, Statistics, Computational Sciences, Physics, Hydrology, Hydrogeology, or Engineering 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 Applicant: For further information, check out http://www.lanl.gov/careers/career-options/postdoctoral-research/postdoc-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 Velimir V Vesselinov (vvv@lanl.gov, +1 505 665-1458), and Daniel O’Malley (omalled@lanl.gov, +1 505 667-8684). For general information about the application processes refer to the LANL Postdoctoral Program page.

Additional Details

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.
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.
EES employs about 110 scientists and 40 postdocs as well as many students, with expertise in various facets of Earth science. The successful candidate will join the 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 environmental problems, energy and water production, carbon capture and sequestration, and waste disposition and storage. Many of LANL projects address the nation’s most challenging environmental and Earth science problems. Our 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 physics groups. Access will be provided to advanced numerical simulation codes and state-of-the-art computing facilities within EES and at LANL.

Postdoc

IRC59832

https://lanl.jobs/los-alamos-nm/applied-computational-postdoc/4f69b6a2bdb54a6faacdde480f2bc8d8/job/