Subsurface Geoscience Postdoc

Los Alamos National Security LLC; Los Alamos (NM); On-site; USD 60,000 - 78,000; Full time

Benefits offered by this job

Health insurance

Dental and vision insurance

Relocation assistance

Onsite gym and wellness

Job summary

Los Alamos National Laboratory in Los Alamos, NM seeks a postdoctoral research associate to develop multi-modal deep learning models for subsurface geoscience applications, including seismic and geodetic data.

The role involves testing state-of-the-art ML models and collaborating with LANL scientists and external academic partners. The appointment is two years with potential extension based on performance and funding; on-site in Los Alamos, NM.

Qualifications

• Ph.D. completed by start or within five years of completion.
• Experience in deep learning applied to subsurface geoscience.
• Strong publication record in relevant fields.
• Proficiency in Python and C/C++.
• Experience with HPC resources and supercomputing.
• Ability to communicate findings at conferences.
• Experience collaborating on interdisciplinary projects.
• Eligibility for Q clearance (U.S. citizenship).

Responsibilities

• Develop multi-modal deep learning models for subsurface geoscience.
• Test and validate state-of-the-art ML models on seismic/geodetic data.
• Collaborate with LANL scientists and external partners.

Skills

Deep learning

Publications

Python

C/C++

HPC

Communication

Interdisciplinary teams

US citizenship

Education

Ph.D. in STEM

Job description

What You Will Do

The Environmental Sciences (EES) Division at Los Alamos National Laboratory (LANL) has an opening for a postdoctoral research associate. The position will include developing multi-modal deep learning models for subsurface geoscience applications including seismic and geodetic data. The work will involve developing and testing state-of-the‑art machine learning models. Experience in deep learning model development and subsurface geoscience research is necessary. The successful candidate will collaborate with scientists at LANL and with external academic partners. The term of the appointment is two (2) years, with the option to extend to a third year depending on performance and funding availability. The position is on-site in Los Alamos, NM.

What You Need

Minimum Job Requirements:

• Research experience in deep learning model and applications in subsurface geoscience
• Publication record including subsurface geoscience and deep learning applications
• Proficiency in programing languages such as Python, C/C++
• Experience using supercomputing and HPC resources
• Communication skills as evidenced by oral presentations at conferences
• Experience working on interdisciplinary teams
• Ability to obtain Q level clearance, which usually requires U.S. citizenship

Education/Experience

A Ph.D. degree in a STEM field related to geodesy, seismology, subsurface geoscience, applied mathematics, computer science, physics, or other related fields. For a postdoctoral appointment the candidate must have completed all Ph.D. requirements by commencement of the appointment or must be within five years of completion of the Ph.D.

Desired Qualifications

• Experience with big-data processing and analysis methods
• Experience with development or support of research projects and proposals
• Ability to plan and organize assignments to meet project deliverable
• Ability to bring creative solutions to complex problems

Work Location

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.

Note to Applicants

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.

For general information about being a LANL postdoc, please visit the postdoc Program website.

Where You Will Work

The mission of the EES Division of Los Alamos National Laboratory is to solve complex problems of importance in environment, energy, and national security by using our capabilities in earth and environmental sciences. The division is a highly interactive, well‑funded research organization. The core disciplines of EES Division include Geology, Geochemistry, Geophysics, Geodynamics, Geography, Hydrology, Atmospheric Science, Ecology, Environmental Science, Computational Science and Geotechnical Engineering.

Benefits

• PPO or High Deductible medical insurance with the same large nationwide network
• Dental and vision insurance
• Free basic life and disability insurance
• Paid childbirth and parental leave
• Award-winning 401(k) (6% matching plus 3.5% annually)
• Learning opportunities and tuition assistance
• Flexible schedules and time off (PTO and holidays)
• Onsite gyms and wellness programs
• Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q

Position will be cleared to this level. Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*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.

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. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Internal Applicants

Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy P701 for applicant eligibility requirements.

Equal Opportunity

Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, 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, state, and local 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 [e-mail] or call (505)-664-6947.