Los Alamos National Laboratory Jobs

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ease refer to Policy <a href="https://int.lanl.gov/policy/documents/P701.pdf">Policy P701 </a>for applicant eligib
ase send an email to <a>applyhelp@lanl.gov </a>or call1-505-665-444

Job Information

Los Alamos National Laboratory Infrastructure Scientist (Scientist 2/3) in Los Alamos, New Mexico

What You Will Do

This position will be filled at either the Scientist 2 or Scientist 3 level, depending on the selected candidate’s skills. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at a higher level.

Join the best and brightest minds in the world at one of the most innovative and creative multi-disciplinary research institutions engaged in strategic science on behalf of national security. The work we do at Los Alamos National Laboratory (LANL) matters to our country and the world.

The Information Sciences and Modeling group (A-1) is looking for outstanding candidates in the field of power engineering research.

Scientist 2 ($94,100 - $155,700):

The Scientist 2 level will support projects that focus on solving emerging and challenging problems in power transmission and water distribution system modeling, simulation, and analysis. The candidate is expected to work in an interdisciplinary environment with significant collaborative research. A successful candidate is expected to publish in peer-reviewed journals and present their research at conferences and workshops.

Scientist 3 ($113,100 - $190,900):

In addition to the Scientist 2 duties outline above, the Scientist 3 will be required to:

  • Identifying, promote, and develop appropriate new Laboratory-wide technical capabilities

  • Mentor junior staff

  • Build multi-disciplinary teams

The position is part of LANL’s Advanced Network Science Initiative (ANSI). ANSI performs basic and applied research focused on modeling and understanding the nation's critical infrastructures, such as electric power transmission, water distribution, and natural gas. Our expertise covers statistics, stochastic methods, machine learning, control theory, dynamical systems, discrete and continuous optimization, statistical physics, and graphical modeling. We ensure the scientific and technological validity of our approaches by working closely with physicists, engineers, mathematicians, statisticians, computer scientists, and economists through interdisciplinary collaborations. Our typical customers include the Department of Homeland Security (DHS), the Department of Energy (DOE), the Department of Defense (DOD), and other agencies. Our work typically requires close collaborations within and outside the Laboratory as well as with universities and other national laboratories. More details on ANSI can be found athttps://lanl-ansi.github.io/

Example of the kinds of projects that these roles will support include:

  • National Infrastructure Simulation and Analysis Center (NISAC)–This is a project funded by the U.S. Department of Homeland Security to conduct modeling, simulation, and analysis of the nation's critical infrastructure. The NISAC’s modeling and analytical activities aim to assess critical infrastructure risk, vulnerability, interdependencies, and event consequences. Examples of the analytical activities include network modeling, machine learning, analysis of extreme events, infrastructure systems interdependencies, and the development of integrated decision support tools.

  • Department of Energy—the candidate is expected to work with LANL’s applied energy program office, the U.S. Department of Energy’s Office of Electricity, and the DOE Biological and Environmental Research (BER) Office of Science. Programs and projects include control and optimization of networks under uncertainty, design of resilient networks, assessment of climate change impacts on critical infrastructure, analysis of interdependent networks, and machine learning for infrastructure systems.

  • Departments of Homeland Security and Defense—the candidate is expected to contribute to LANL’s recent efforts to develop novel models electric power system behavior and response during extreme events such as geo-magnetic disturbances (GMD), hurricanes, and earthquakes.

What You Need

Minimum Job Requirements:

  • Experience in modeling power infrastructure networks

  • Scientific/numerical programming experience in Julia (preferred), C++, Python, R, MATLAB, or Java

  • Publication record in one or more of the following areas: machine learning, mathematical programming, industrial engineering, power engineering, control theory, computational science, risk assessment, or applied mathematics

  • Demonstrate ability to work effectively in a collaborative and multi‐disciplinary scientific environment

  • Demonstrate excellent oral and written skills

Additional Requirements for Scientist 3

In addition to the Job Requirements outlined above, qualification at the Scientist 3 level requires:

  • Experience in program development as evidenced by the ability to secure funding for multi-year projects

  • Experience mentoring and managing postdoctoral researchers and graduate students

  • Ability to identify, promote, develop and grow technical capabilities

  • Demonstrated ability to influence large organization strategies and directions

  • Ability to take a leadership role in scoping research, developing methods, directing tasks, and identifying strategic goals.

  • Ability to contribute and extend existing institutional technical capabilities and contribute to the development of new capabilities.

  • Ability to obtain DOE Q and SCI clearances, which typically requires U.S. Citizenship

Education/Experience at lower level: Positions requires a Bachelor’s degree in a relevant science or engineering field (electrical engineering, computer science, computer engineering, applied mathematics, operations research, applied mathematics, or a related field) from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation

Education/Experience at higher level: Position requires a Master’s degree in in a relevant science or engineering field (electrical engineering, computer science, computer engineering, applied mathematics, operations research, applied mathematics, or a related field).from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation. A Ph.D. is highly preferred.

Desired Qualifications:

  • Experience in solving practical science and engineering problems, especially in the context of infrastructure networks

  • Experience in modeling multiconductor electric distribution systems is highly preferred.

  • Background in applied mathematics disciplines such as optimization, control theory, and machine learning

  • Experience with parallel computation, containerization, and cloud computing and/or HPC environments

  • Mathematical modeling experience with AMPL, GAMS, JuMP, or Pyomo

  • Experience with commercial and open‐source solvers (CPLEX, Gurobi, IPOPT, etc.)

Note to Applicants: For further questions, please contact Beth Hornbein at bethh@lanl.gov. To apply, please use the “apply now” button below. Include a letter describing how you meet the requirements outlined above and describing your research interests, in addition to a CV with three references listed.

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

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.

Where You Will Work

Located in the beautiful Jemez Mountains of northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in science and engineering on behalf of national security. Los Alamos provides access to activities like hiking, mountain biking, skiing, rock climbing, and camping and a local public school system that is consistently ranked amongst the best in the nation every year. The Advanced Network Science Initiative (ANSI) is one of the focal points for the Laboratory’s infrastructure optimization and control capabilities. ANSI is a collaboration between the Laboratories’ Analytics, Intelligence, and Technology (A), Computer – Computational and Statistical Sciences (CCS), Theory & Theoretical Division (T) Divisions, and the Center for Nonlinear Studies (CNLS).

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.

Clearance: Q/SCI (Position will be cleared to this level). Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements

  • for access to classified matter.

  • 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.

426.2: This position is subject to DOE Order 426.2, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job.

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.

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 PolicyPolicy P701for 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 call1-505-665-4444 option 1.

Appointment Type



Contact Details
Contact Name Wilson, Amber
Email amberw@lanl.gov
Work Telephone
Vacancy Name: IRC86370
Organization Name A-1/Information Systems & Modeling
Minimum Salary
Maximum Salary
Req ID: IRC86370
Category: Science