Job ID: IRC88032
Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in cutting edge science and engineering research. We are seeking qualified applicants for multiple postdoctoral openings to join our Physics and Chemistry of Materials group (T-1) and perform outstanding research at the intersection of machine learning, theoretical chemistry and physics. Our group works in a highly collaborative environment, directly interfacing with experimental colleagues and maintaining joint research projects with many academic institutions. Your role in this team will focus on the construction of high accuracy machine learning models, capable of performing large atomistic simulations and determining material performance with quantified uncertainty. These models will be critical for defining performance margins in engineering applications. Training data for these models will be a combination of quantum mechanics simulations as well as customized experiments. This research will also provide opportunities to collaborate with experimentalists at facilities such as the Linac Coherent Light Source and Argonne National Laboratory IVEM facility and guide their experiments to produce new datasets useful to machine learning applications.
The members of the T-1 group, who would sponsor the postdoctoral associates, are experts in theory and simulation of materials using a wide range of techniques, as well as data science. As one of the seven groups of the Theoretical Division (https://theoretical.lanl.gov), T-1 seeks to understand how microscopic properties of materials are related to their macroscopic performance. We provide unique opportunities for career development including cross disciplinary collaborations, scientific workshop organization and conference attendance (https://www.lanl.gov/careers/career-options/postdoctoral-research). Outstanding applicants may be nominated for prestigious LANL-funded fellowships, enabling the pursuit of independent research.
- PhD in physics, chemistry, materials science, computer science or related fields completed within the last 5 years or soon to be completed
- Demonstrated expertise in one of the following:
- Machine learning methods, ideally in their application to materials and chemistry research
- Data science techniques in uncertainty quantification and sensitivity analysis
- Electronic structure theory and atomistic simulations of materials
- Classical, semi-classical or quantum molecular dynamics
- Programming experience, preferably in Python/Pytorch, C/C++, or GPU languages such as Computer Unified Device Architecture (CUDA).
- Demonstrated experience in conducting original scientific research through peer reviewed publications.
- Excellent communication skills (both oral and written).
- Experience with High-Performance Computing (HPC) or Graphics Processing Unit (GPU) computing
- Demonstrated ability work independently with minimum supervision.
- Interest and flexibility to adapt to new areas of research.
- Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.
We Are Delivering Scientific Excellence
Los Alamos National Laboratory is more than a place to work. It is a catalyst for discovery, innovation and achievement. In particular, Led initially by Hans Bethe and Victor Weisskopf during the Manhattan project, the Theoretical Division has seen some of the most brilliant minds in science, from Feynman to von Neumann, Metropolis, Glauber, Reines, Ulam, Skyrme, Ashkin and Peierls. In eight decades it has evolved into an interdisciplinary research environment of excellence and creativity, consistently kickstarting entire new fields and methods. It is one of the reasons we attract world-class talent who contribute greatly to our outstanding culture. Professional development, work/life balance and a diverse and inclusive team foster lasting career satisfaction. Our onsite cafeterias and medical, fitness and breastfeeding facilities, education assistance and generous compensation and benefits reflect our commitment to providing our people with all they need for personal and professional growth.
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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 regards 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 email@example.com or call 1-505-665-4444 option 1.