AI/ML Critical Infrastructure Postdoc

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.

We are looking for exceptional postdoctoral researcher to advance work at the intersection of machine learning, scientific computing, uncertainty quantification, and physics-based modeling of energy systems. As a valued member of our multidisciplinary team of mathematicians, physicists, engineers, computer scientists, and AI/ML researchers, you will develop cutting-edge AI/ML capabilities for integrating heterogenous models, physics-based simulations, and analysis across a variety of engineered systems (electric power, natural gas, and communication networks), collaborate across disciplines with domain scientists on complex, real-world infrastructure challenges, and innovate methodologies in data-model fusion, modeling dynamic equations using AI/ML methods, surrogate modeling, probabilistic prediction, uncertainty quantification and data assimilation to advance mission critical research.

This position is part of the Computational Intelligence & Modeling Group (A-1), who facilitate the application of trusted, cutting-edge modeling, simulation, and data-driven intelligence capabilities backed by rigorous engineering and validation to enable rapid, evidence-based decision-making for critical national and global security challenges. A-1 is the essential connection between research frontiers and mission success, where innovative research and development (R&D) transforms information on global threats into knowledge to keep decision makers ahead of the curve. Agility and adaptability are highly prized and emphasized; because the global threat landscape constantly evolves, so too does A-1’s R&D portfolio. To achieve this, A-1 has a diverse team of subject matter experts, from mathematicians and economists to engineers and physicists, to computer and data scientists., 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 Policy P701 (https://int.lanl.gov/policy/documents/P701.pdf) for applicant eligibility requirements.

• Demonstrated experience in machine learning, data-driven modeling, scientific computing, or statistical methods for complex systems, evidenced by a strong publication record in peer-reviewed journals.
• Deep understanding of one or more areas: surrogate modeling, emulation, data assimilation, uncertainty quantification, probabilistic prediction, or multi-modal data integration.
• Proficient programming skills with hands-on experience using modern ML frameworks (e.g., PyTorch and/or JAX) and Python, scientific stack (NumPy/SciPy).
• Demonstrated creativity and interest in developing new research directions rather than only implementing existing methods.
• Ability to obtain a DOE Q and SCI security clearances, which generally requires U.S. citizenship, A Ph.D. in electrical engineering, computer science, physics or a related field within the past 5 years is required., * Experience with critical infrastructure modeling tools (PowerWorld, Pandapower, MATPOWER, PowerModels, GasModels, ns-3)
• Collaborative software development experience (git/version control)
• Experience with modeling dynamic equations using AI/ML methods

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., *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 (https://www.directives.doe.gov/directives-documents/400-series/0472.2-border-a-chg1-ltdchg/@@images/file) for additional information.

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 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