Los Alamos National Laboratory · 1 day ago
Verification, Validation and Uncertainty Quantification Postdoc
Los Alamos, NM
Full-time
Onsite
New Grad, Entry LevelLos Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking highly motivated post-doctoral candidates to assess predictive confidence of computational physics codes through verification, validation, and uncertainty quantification methods.
Security
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
Apply analysis methods, including V&V, UQ, Automatic Differentiation, and/or surrogate models to assess computational physics simulations of materials under extreme conditions
Conduct high level research in one or more of the following areas: simulation, verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area
Demonstrate experience in development, setup, execution, and/or postprocessing of numerical models and simulations
Publish results in peer-reviewed journals and present at top tier conferences
Qualification
Required
A background in computational physics in a relevant or closely related field, e.g. hydrodynamics, plasma physics, shock physics, fluid mechanics, solid mechanics, and/or material dynamics and advanced analysis of simulations, including but not limited to verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area
Demonstrated experience in development, setup, execution, and/or postprocessing of numerical models and simulations
Ability to run export-controlled codes which generally requires US Citizenship or Permanent Residency
Conducted high level research in one or more of the following areas: simulation, verification, validation, uncertainty quantification, sensitivity analysis, optimization, inverse problems or a closely related focus area
Familiar with at least one of: Fortran, C++ and/or Python. Alternately experience programming in Matlab and R may be substituted
Ability to publish research in peer-reviewed journals or conference proceedings, communicate research to an interdisciplinary audience and work on an interdisciplinary team
Demonstrated by being the first author, or among a small set of co-authors, on at least one paper published, or accepted for publication, in a peer reviewed journal or in a major peer reviewed conference proceedings
PhD in mathematics, physics, materials science, chemistry, engineering, statistics or a closely related discipline
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
Preferred
Experience working with both numerical modeling and experimentation
Familiarity using High Performance Computing clusters
Experience with one or more of these subject areas: radiation transport, high-energy-density physics, equations-of-state, shock physics, high explosive modeling, material failure, material strength under high strain rates, magnetohydrodynamics
Proficient with software engineering tools like: version control systems; web-based software repository systems; issue trackers; online collaboration platforms; and continuous integration systems
Benefits
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)
Company
Los Alamos National Laboratory
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is
Founded in 1943
10001+ employees
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
US Department of EnergyU.S. Department of Homeland Security
2023-08-16Grant
2023-05-19Grant
2023-01-17Grant
Leadership Team
Alex Delaney
R&D Engineer, Detonation Science and Technology
Recent News
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