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 Group (CCS-3) in the Computer, Computational and Statistical Sciences Division at LANL is recruiting a highly motivated post-doctoral research associate. The successful candidate will develop cutting-edge methods in generative modeling and apply them to physical systems, with an emphasis on imposing specific physical constraints. The fundamental research will involve development of efficient generative methods for (1) multiphase fluid simulations as implemented in Lattice Boltzmann methods, (2) Direct Numerical Simulation of Rayleigh-Taylor flow and oceanography models, and (3) molecular graphs modeling nanoparticles. This position is part of a larger research program that focuses on developing machine-learning methods for learning physical systems. The successful candidate will be expected to work in an interdisciplinary team environment and interact with scientists working in data science, statistical physics, machine learning, fluid dynamics, earth sciences, and computational chemistry, in different organizations of the Laboratory (CCS-3: Information Sciences Group; CCS-2: Computational Physics and Methods; EES-16: Energy and Natural Resource Security; T-1: Physics and Chemistry of Materials).

What You Need

Minimum Job Requirements:

• A PhD in Physics, Data Science, Machine Learning, Applied Mathematics, Applied Statistics, Computer Science, or a related field completed within the last three years

• Hands-on experience and proficiency in either modern machine-learning

• Ability to conduct independent and collaborative research

• Scientific/numerical programming experience in Python, Julia, C++, or a similar modern language

• Ability to meet the tight schedules, organize and prioritize tasks under tight time constraints for effective achievements of project goals

• Excellent interpersonal, oral, and written communication skills

• Strong track record in data science, machine learning, or physical sciences

Education: Candidates must have received a Ph.D. within the last five years in a STEM field, or will have completed all Ph.D. requirements by commencement of appointment.

Desired Qualifications:

Experience with modern neural network applications such as diffusion modeling, neural dynamical systems, or computer vision

• Proficiency in probabilistic reasoning and uncertainty quantification

• Expertise in the areas of stochastic processes, statistical physics, or statistical learning

• Experience with physics-informed machine learning techniques

• Previous applications with scientific computing such as computational fluid dynamics and/or molecular dynamics

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.

Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $92,000. For more information go to Postdoc Program website at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php .

Note to Applicants:

The application package consists of a CV and a cover letter. In addition to applying online, applicants may email their CV and cover letter to Yen Ting Lin (yentingl@lanl.gov). Exceptional candidates may be considered for a Center for Non-Linear Studies Postdoc (for more information, see http://cnls.lanl.gov) and/or Director's Fellowship. Outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships. For general information about the Postdoc Program, including salary guidelines, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php .

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 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

§ 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 (https://directives.nnsa.doe.gov/supplemental-directive/sd-0206-0002) . 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.

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. 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.

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 call 1-505-665-4444 option 1.