What You Will Do
The Computational Physics: Verification & Analysis group (XCP-8) at the Los Alamos National Laboratory (LANL) is seeking several highly motivated post-doctoral candidates in the areas of verification, validation, uncertainty quantification (VVUQ) and machine learning. A successful candidate will develop advanced estimation, validation and uncertainty quantification methodology using advanced statistical methods, including Bayesian optimization, machine learning, and/or multi-fidelity modeling. A background in a relevant field of physics is preferred (e.g. fluid dynamics, hydrodynamics, solid mechanics, materials, equation of state, reactive flow, high explosives, high-energy-density physics, instabilities and turbulence, and radiation transport). Successful applicants will be expected to publish results in peer-reviewed journals and present at well-known conferences. This work is part of a larger project. Successful applicants will be expected to work well in a team environment.
XCP-8 is an interdisciplinary group which specializes in VVUQ of complex numerical codes coupled by diverse physics models (fluid dynamics, hydrodynamics, solid mechanics, material strength and damage, equation of state, reactive flow, high-energy-density physics, instabilities and turbulence, and radiation transport). Research in XCP-8 is cross-cutting and interacts closely with code and physics model developers, experimentalists, and simulation end-users across a broad set of physics. XCP-8 offers an exciting, flexible, scientifically challenging work environment with many opportunities to collaborate with the broader LANL scientific community.
Learn more about XCP-8 at https://www.lanl.gov/org/padwp/adx/computational-physics/xcp-8-verification-analysis/index.php
What You Need
Minimum Job Requirements:
Demonstrated experience with numerical modeling, development of physics models, and/or understanding of relevant physics and mathematics.
Research-level expertise in simulation, validation, uncertainty quantification, optimization, machine learning, or a closely related focus area.
Strong programming skills in at least one of: Fortran, C++ and/or Python. Alternately experience programming in Matlab or R may be substituted.
Demonstrated ability to publish research in peer-reviewed journals or conference proceedings, communicate research to an interdisciplinary audience and work on an interdisciplinary team
Excellent written and communication skills in English.
Education/Experience : PhD in mathematics, physics, computer science, engineering, statistics, machine learning or a closely related discipline. The candidate must be within 5 years of completion of PhD at time of being proposed for review by the committee, or will have completed all PhD requirements by commencement of the appointment.
Experience working with both numerical modeling and experimentation.
Experience designing, training, and analyzing deep neural networks, or other machine learning techniques such as Gaussian processes.
Familiarity using High Performance Computing clusters
Experience with high-energy-density physics, equations-of-state, high explosive modeling, material strength under high strain rates, materials properties in simulations, and/or radiation transport models.
Proficient with software engineering tools like: version control systems; web-based software repository systems; issue trackers; online collaboration platforms; and continuous integration systems
Note to Applicants:
To be considered for the position, applicants should submit a CV/resume and a detailed cover letter addressing how their experience relates to each of the required and desired skills as applicable. Regular post-doctoral appointments are for two years and are renewable for a third year. Outstanding candidates may be eligible for a LANL Director's Fellowship. For specific inquiries regarding the position, please contact Dr. Kyle Hickmann ( email@example.com ). 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)
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.
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. See DOE Order 472.2 for 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. Appointment Type
Vacancy Name: IRC86392
Organization Name XCP-8/Verification And Analysis
Req ID: IRC86392