Los Alamos National Laboratory Electrical Power System Modeling Postdoc in Los Alamos, New Mexico
What You Will Do
Come join the best and brightest minds in the world at one of the most innovative and creative multidisciplinary 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 systems modeling, software development, and electrical engineering.
The successful candidate will support projects that focus on solving emerging and challenging problems in the areas of transmission and distribution system modeling, simulation, and analysis. The candidate is expected to work in an interdisciplinary environment with significant collaborative research and to publish in peer-reviewed journals and present their research at conferences and workshops.
This position is part of LANL’s Infrastructure Science Programs, including:
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 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 work typically requires close collaborations within and outside the Laboratory. More details on ANSI can be found athttps://lanl-ansi.github.io/
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. NISAC analysts assess critical infrastructure risk, vulnerability, interdependencies, and event consequences.
Department of Energy: The candidate will work with LANL’s applied energy program office and the U.S. Department of Energy’s Office of Electricity. Programs and projects include control and optimization of networks under uncertainty, analysis of extreme events, design of resilient networks, analysis of interdependent networks, and machine learning for infrastructure systems.
What You Need
Minimum Job Requirements:
Research & Collaboration
Demonstrated ability to work independently and collaboratively on team
Experience in modeling energy infrastructure networks; experience in multi-conductor electric distribution systems is highly preferred
Scientific/numerical programming experience in Julia (preferred), Python, MATLAB, C++, or Java
Software engineering experience
Good interpersonal, written, and oral communication skills.
Experience or expertise in one or more of the following areas:
Scientific/numerical programming experience in Julia
Experience in solving practical science and engineering problems, especially in the context of infrastructure networks
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 is a plus
Publications in peer reviewed scientific journals
A Ph.D. in a relevant science or engineering field (electrical engineering, computer science, computer engineering, applied mathematics, operations research, applied mathematics or a related field) awarded within the last 5 years.
Special Note to Applicants:
Along with your resume and transcript, please include 3 references and a detailed cover letter describing your research interests and explaining how you meet each of the minimum requirements and any of the desired qualifications.
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)
Q Clearance: 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. SeeDOE Order 472.2for 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.
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 firstname.lastname@example.org or call 1-505-665-4444 option 1.
Contact Name Weber, Paul Harlan
Vacancy Name: IRC83325
Organization Name A-1/Information Systems and Modeling
Req ID: IRC83325