Los Alamos National Laboratory Jobs

NNSA Supplemental </em><i style="mso-bidi-font-style: normal"><a id="LPlnk523380" href="https://directives.nnsa.doe.gov/supplemental-directive/sd-0206-0002">Directive 206.2 </a></i><em>. </em><em>Please note th
refer to Laboratory <a href="https://int.lanl.gov/policy/documents/P701.pdf">Policy P701 </a>for full applicant
ase send an email to <a>applyhelp@lanl.gov </a>or call1-505-665-444

Job Information

Los Alamos National Laboratory Earth-System Modeling Scientist (Scientist 2) in Los Alamos, New Mexico

What You Will Do

The Computational Physics and Methods group at Los Alamos National Laboratory (LANL) is seeking qualified applicants in the areas of artificial intelligence / machine learning for Earth-system predictability and modeling. Candidates with experience in modeling and analyzing climate processes using innovative artificial intelligence / machine learning techniques are especially encouraged to apply. The successful candidate will contribute to development and application of the Energy Exascale Earth System Model (E3SM), the DOE’s new Earth system model, to address science questions relevant to DOE’s missions. Los Alamos National Laboratory is focused on the role of ocean and ice systems in high-latitude and global climate, marine biogeochemistry, land-river-ocean interactions, and the impacts of sea-level rise. The candidate will be expected to perform outstanding research in at least one of these areas, including using E3SM for fully coupled, global, variable-resolution simulations of the Earth system.

The successful candidate will:

  • Work as an integral member of one or more multidisciplinary teams that study Earth’s high-latitude climate and coastal systems.

  • Advance understanding of predictability of the high-latitude and/or coastal Earth systems, by developing and applying innovative approaches to

  • Improve the initialization of climate models;

  • Analyze large data sets, including large ensembles of climate models; and/or

  • Build predictive models based on observations and model simulations.

  • Present progress to the team, project management and sponsors, and the scientific community through peer-reviewed publications and conference presentations.

What You Need

Minimum Job Requirements:

  • Experience with artificial intelligence and machine learning approaches;

  • Demonstrated knowledge of the dynamics of the climate system or its components;

  • Demonstrated excellence in scientific research as evidenced by a strong record of peer-reviewed publications;

  • Ability to work effectively in interdisciplinary teams;

  • Excellent oral and written communications skills;

  • Demonstrated initiative for continuous learning and development in new areas of research.

Education/Experience: Ph.D. in climate science or related discipline, applied mathematics, computer science, physics, or another related field.

Desired Qualifications:

  • Experience in coastal, ocean, or Earth system modeling or model analysis;

  • Previous experience in artificial intelligence / machine learning that could be applicable to coastal or estuarine modeling (as evidenced by scientific code releases);

  • Experience mentoring students, postdocs or junior staff;

  • Experience developing and writing successful research grant proposals.

Location: This position will be physically located in Los Alamos.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

  • PPO or High Deductible medical insurance with the same large nationwide network

  • Dental and vision insurance

  • Free basic life and disability insurance

  • Paid maternity and parental leave

  • Award-winning 401(k) (6% matching plus 3.5% annually)

  • Learning opportunities and tuition assistance

  • Flexible schedules and time off (paid sick, vacation, 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.

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.

Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.

Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Internal applicants, please refer to LaboratoryPolicy P701for full applicant eligibility requirements

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 regard 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 call1-505-665-4444option 1.

Appointment Type

Regular

Regular

Contact Details
Contact Name Doyle, Christine Louise
Email cdoyle@lanl.gov
Work Telephone
Vacancy Name: IRC83836
Organization Name CCS-2/Computational Physics & Methods
Minimum Salary 94100
Maximum Salary 155700
Req ID: IRC83836
Category: Science

DirectEmployers