Los Alamos National Laboratory Computational Subsurface Science Postdoc in Los Alamos, New Mexico
What You Will Do
The Computational Earth Science Group (EES-16) at the Los Alamos National Laboratory (LANL) seeks outstanding candidates for a postdoc position in their Subsurface Flow and Transport (SFT) team. The 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, energy infrastructure.
Environment: groundwater simulation and hydrogeology, climate impacts and extreme events, surface hydrology, urban and wildland fire, environmental remediation.
National & global security: non-proliferation, 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 postdoc will develop physics-based computational models for subsurface problems. Applications include unconventional oil & gas, subsurface sensing and continental-scale hydrology. The postdoc will also work towards developing reduced-order models using machine learning from these physics-based computational models. The ideal applicant should have strong background in flow and transport in porous media. The postdoc will develop models using high-performance computing (HPC) tools like PFLOTRAN and dfnWorks, and so the applicant should have experience in code development, parallel computing, and a good understanding of various numerical discretization techniques. The postdoc will work in a fast-paced environment and is expected to be versatile to learn new methods and algorithms based on the problem. The postdoc will work with multiple teams with scientists from various disciplines and is expected to publish their work in high-impact international journals.
What You Need
Minimum Job Requirements:
Proven strong physics-based modeling background preferably related to porous media
Proven strong background in computational methods (finite element, finite volume), scientific computing and code development
Demonstrated excellent communication, writing, and oral presentation skills
Demonstrated outstanding track of peer-reviewed publications
Demonstrated parallel computing experience
Demonstrated machine learning and reduced-order modeling experience
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. SeeDOE Order 472.2 for additional information.
Education: A Ph.D. in Earth Sciences, Engineering, Applied Mathematics, Computational Science or Hydrology. The candidate must have completed all Ph.D. requirements by commencement of the appointment and be within five years of completion of the Ph.D.
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.
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 email@example.com 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.
Location: Los Alamos, NM, US
Organization Name: EES-16/Computational Earth Science
Job Title: Computational Subsurface Science Postdoc
Appointment Type: Postdoc
Req ID: IRC66020