Los Alamos National Laboratory Computational Earth Science Postdoc 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 exceptional postdoctoral candidates in a range of disciplines and application areas. 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 successful candidate or candidates will work as part of a dynamic team developing cutting-edge approaches (methodologies and computational tools) to tackle pressing national and global challenges. Example projects include:
Reactive transport modeling involved in actinide-water interactions in high pressure-temperature environments.
Integrated Disturbance Science (IDS)focused on climate impacts & extremes on ecosystems, hydrology, the energy-water nexus, and disruptive events such as drought and wildfire. Spatiotemporal scales of interest range from hillslope-to-continents and seconds-to-decades.
Data and Model Analytics: machine learning from large datasets obtained through surveillance programs and model simulations to extract important and meaningful features representing processes and latent variables hidden in the data.
Coupled fire-atmosphere modelingto simulate the interaction between wildland fires and surrounding atmosphere, to understand and characterize two-way feedbacks that control fire behavior, and to develop the science to support decision making for fire managers.
Fossil Energyfocused on improving extraction efficiency of unconventional oil/gas fields, safe long-term storage of CO2 through application of predictive science, high-performance computing, and machine learning.
National Security Science exploring gas migration in highly fractured porous media and high pressure/temperature initial conditions. Fundamental research to convert rock damage simulations to permeability fields.
Applicants are not restricted to the example projects; these are used to highlight current challenges the Group is addressing. However, the Group is looking for exceptional candidates and this must include a proven track record of excellent scientific research and publishing.
What You Need
Minimum Job Requirements:
Demonstrated exceptional research through peer-reviewed publications. This should include five or more publications and first-authored manuscripts (e.g., an h-index of at least 5).
Proven extensive computational or modeling skills and understanding.
Demonstrated existing knowledge or willingness to learn about energy, environmental, and national security applications relevant to the Computational Earth Science Group.
Demonstrated excellent communication, writing, and oral presentation skills.
Selected candidates must have demonstrated exceptional potential for publishing peer-reviewed research.
Demonstrated ability to work in a diverse and dynamic team.
High-visibility, first-authored publications.
Proven experience giving oral presentations at leading academic conferences or symposiums.
Proven experience in coding proficiency in languages such as C/C++, Fortran, Java, Julia, Python, MATLAB, and R.
Demonstrated understanding and ability to work in high-performance computing (HPC) environments.
Proven experience in big-data (>= terabyte scale) processing and analyses.
Demonstrated experience of developing or supporting research projects and proposals.
Education and background: A Ph.D. in a field related to our Group’s challenges, including geology and geosciences, atmospheric sciences, engineering (e.g., environmental, civil, mechanical), applied mathematics, computer science, physics, hydrology, and geography. 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.
Candidates with previous postdoctoral experience are also strongly encouraged to apply. Applications will be reviewed almost immediately and candidates of interest will be notified with a very short turnaround.
Notes to Applicants:
To apply, please submit an online application including your résumé and a cover letter that includes a short research statement (not to exceed one page). The cover letter should include a short biography (2-3 lines), research interests, and future career goals. Research interests in your cover letter should be aligned with the Group’s challenges; candidates are encouraged to contact relevant scientists in the Group (seewww.lanl.gov/EES-16 for more information). Please contact Richard Middleton (firstname.lastname@example.org) for more information.
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.
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
Contact Name: Middleton, Richard Stephen (Richard)
Organization Name: EES-16/Computational Earth Science
Job Title: Computational Earth Science Postdoc
Appointment Type: Postdoc
Req ID: IRC65917