Sandia National Laboratories
Postdoctoral Appointee - Adaptive Discretization Methods for Multi-scale, Evolvi
Sandia National Laboratories, Albuquerque, New Mexico, United States, 87101
About Sandia:Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:Challenging work with amazing impact that contributes to security, peace, and freedom worldwide.Extraordinary co-workers.Some of the best tools, equipment, and research facilities in the world.Career advancement and enrichment opportunities.Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home).Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance.World-changing technologies. Life-changing careers. Learn more about Sandia at:
http://www.sandia.gov .What Your Job Will Be Like:We are seeking a postdoctoral appointee to join our dynamic team and conduct research related to interface-conforming mesh adaptation for computational fluid dynamics, large deformation solid mechanics, and moving interface problems. You will have a strong background in physics-based computational modeling, ideally with experience in adaptive discretizations for evolving interfaces or solution fields. Knowledge in the areas of anisotropic mesh refinement, mesh improvement methods, implicit interface methods, immersed/embedded boundary methods, and/or machine learning is desired.On any given day, you may be called on to:Develop and evaluate approaches for creating adaptive tetrahedral meshes used in unstructured cell-centered finite volume simulations of high-speed boundary layers.Explore, develop, and implement methods for field resolution in solid mechanics with a focus on state and internal state variables governing the fracture process. Collaborate with colleagues in error estimation.Develop, implement, and evaluate computational methods and discretization strategies for evolving implicit interface problems.Conduct research to validate models, present, and publish results.Travel as needed to support projects.Postdoctoral Appointee Salary is $98,500/annual for NM Location.Hybrid Work: The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.Qualifications We Require:PhD, conferred within 5 years prior to employment, in Mechanical Engineering, Computer Science, Material Science, Applied Math, or other Engineering related field.Experience in modeling evolving, multi-scale, or multi-physics problems via computational methods (CFD) such as finite element (FEA), finite volume, etc.Experience programming in one of the following; C++, Python, Julia, etc.Good communication skills as evidenced by a history of publication of results in peer-reviewed journals and external presentations at appropriate scientific conferences.Ability to obtain and maintain a DoE Q security clearance.Qualifications We Desire:Familiarity with high performance computing environments and Linux operating systems.Familiarity with immersed/embedded interface methods.Familiarity with incremental mesh improvement methods.Familiarity with output-based adaptivity.Experience with statistical modeling and/or machine learning methods.Demonstrated ability to work in large, multi-disciplinary teams to solve complex problems.Experience collaborating in multi-organizational environments.About Our Team:We conduct applied research on the structure and behavior of complex engineered material systems exhibiting coupled physical processes that span multiple length and time scales. This research encompasses theoretical/computational and experimental methods and analysis of energetic (propellants, explosives, pyrotechnics) and soft materials (complex fluids, aerosols, polymers, powders and particles) and multiphase/composite systems. We support partner organizations in scientific assessments for design, production, performance and safety of material systems (e.g., critical components) as well as in the development and manufacturing of novel materials for high consequence, extreme environment applications.Posting Duration:This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.Security Clearance:Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.EEO:All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.Position Information:This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.Job ID: 694053Job Family: 92Regular/Temporary Position: TFull/Part-Time Status: F
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http://www.sandia.gov .What Your Job Will Be Like:We are seeking a postdoctoral appointee to join our dynamic team and conduct research related to interface-conforming mesh adaptation for computational fluid dynamics, large deformation solid mechanics, and moving interface problems. You will have a strong background in physics-based computational modeling, ideally with experience in adaptive discretizations for evolving interfaces or solution fields. Knowledge in the areas of anisotropic mesh refinement, mesh improvement methods, implicit interface methods, immersed/embedded boundary methods, and/or machine learning is desired.On any given day, you may be called on to:Develop and evaluate approaches for creating adaptive tetrahedral meshes used in unstructured cell-centered finite volume simulations of high-speed boundary layers.Explore, develop, and implement methods for field resolution in solid mechanics with a focus on state and internal state variables governing the fracture process. Collaborate with colleagues in error estimation.Develop, implement, and evaluate computational methods and discretization strategies for evolving implicit interface problems.Conduct research to validate models, present, and publish results.Travel as needed to support projects.Postdoctoral Appointee Salary is $98,500/annual for NM Location.Hybrid Work: The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to the assigned work location when necessary.Qualifications We Require:PhD, conferred within 5 years prior to employment, in Mechanical Engineering, Computer Science, Material Science, Applied Math, or other Engineering related field.Experience in modeling evolving, multi-scale, or multi-physics problems via computational methods (CFD) such as finite element (FEA), finite volume, etc.Experience programming in one of the following; C++, Python, Julia, etc.Good communication skills as evidenced by a history of publication of results in peer-reviewed journals and external presentations at appropriate scientific conferences.Ability to obtain and maintain a DoE Q security clearance.Qualifications We Desire:Familiarity with high performance computing environments and Linux operating systems.Familiarity with immersed/embedded interface methods.Familiarity with incremental mesh improvement methods.Familiarity with output-based adaptivity.Experience with statistical modeling and/or machine learning methods.Demonstrated ability to work in large, multi-disciplinary teams to solve complex problems.Experience collaborating in multi-organizational environments.About Our Team:We conduct applied research on the structure and behavior of complex engineered material systems exhibiting coupled physical processes that span multiple length and time scales. This research encompasses theoretical/computational and experimental methods and analysis of energetic (propellants, explosives, pyrotechnics) and soft materials (complex fluids, aerosols, polymers, powders and particles) and multiphase/composite systems. We support partner organizations in scientific assessments for design, production, performance and safety of material systems (e.g., critical components) as well as in the development and manufacturing of novel materials for high consequence, extreme environment applications.Posting Duration:This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.Security Clearance:Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship.EEO:All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.Position Information:This postdoctoral position is a temporary position for up to one year, which may be renewed at Sandia's discretion up to five additional years. The PhD must have been conferred within five years prior to employment.Job ID: 694053Job Family: 92Regular/Temporary Position: TFull/Part-Time Status: F
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