Idaho National Laboratory · 1 day ago
Computational Scientist
Idaho National Laboratory is at the forefront of shaping next-generation tools that drive breakthroughs in nuclear energy and scientific research. The Computational Scientist will develop and maintain advanced multi-physics analysis tools, perform computational studies, and lead research projects to address critical challenges in nuclear technology.
National DefenseEnergyRenewable EnergyInformation TechnologyBiofuelHomeland Security
Responsibilities
Develop, support, maintain, and document advanced multi-physics analysis tools for use in specific technical subject areas
Implement models, methods, and verification/validation strategies for these tools
Test innovative technologies and application programs to demonstrate correctness, robustness, and adequacy according to requirements specified by a wide variety of customers
Perform computational studies in support of assigned technical area’s goals and objectives
Perform data collection, analysis, and assimilation
Participate in, and/or potentially lead, the design, planning, and execution of modeling- and simulation-related research and development projects
Represent the interests of INL through partnerships and connections with the U.S. Department of Energy (DOE), other U.S. national laboratories, industry, technology end users, and academia
Develop technical reports, peer-reviewed publications, proposals, and presentations for internal and external customers
Identify and develop new program opportunities
Establish and maintain up-to-date knowledge in key technical areas
Depending on level, may lead computational multi-physics methods and code development software teams
Participate in professional activities, university interactions, special assignments, and external special interest groups
Mentor interns and other staff members as appropriate
Other duties as assigned
Qualification
Required
Level 2: Bachelor of Science degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 2 years of relevant experience; or a Master's of Science degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 0 years of relevant experience; or a PhD degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 0 years of relevant experience
Level 3: Bachelor of Science degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 5 years of relevant experience; or a Master's of Science degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 2 years of relevant experience; or a PhD degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree and 2 years of relevant experience
Proficiency in C++, Python, and/or Fortran object-oriented programming languages, finite-element methods, advanced numerical methods for nonlinear analysis, and the development of complex engineering analysis software
Skills in one or more of the following areas are necessary: h and p adaptation, parallel computing, non-linear solvers, pre-conditioning, discontinuous Galerkin methods, and the development of complex scientific software for the solution of partial differential equations
Excellent verbal and written communication skills as extensive documentation of work is required, which includes authorship of technical reports, user's manuals, and research papers for refereed journals and proceedings
Technical leadership for providing direction to national DOE programs
Knowledge of one or more of the following technical areas: computational science, modeling, simulation, high-performance computing, scientific software engineering, finite element methods and analysis, fluid mechanics, nuclear science (including nuclear physics, simulation of nuclear fuel behavior, stochastic and deterministic reactor physics, core design), computational material science, phase field methods, molecular dynamics, crystal plasticity, thermo-mechanics, nonlinear solid mechanics, structural dynamics, heat transfer, and multi-physics coupling
Knowledge of engineering software development processes and proficiency with related tools
Ability to work effectively independently and as a member of a team
Ability to coordinate and execute project/program activities relative to work package scope, deliverables, and milestones
Ability to accept input and coaching from mentors and provide input in a constructive manner to others while maintaining a positive and professional relationship with all, even while under budget and deadline pressures
Ability to execute research in assigned technical subject areas
Ability to provide imaginative, thorough, and practical solutions to a wide range of complex, ambiguous, and/or difficult computing problems
Ability to interact effectively with technical staff and managers
Ability to articulate and advocate business cases in support of technical projects
Preferred
Advanced degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer science, engineering, physics, mathematics, or another similar degree
Demonstrated experience in providing leadership, strategic and tactical planning, and effective execution of large, complex, and technically challenging programs requiring multidisciplinary integration across multiple organizations
Relevant research accomplishments published in peer-reviewed scientific literature
Experience in the development of advanced mathematical software
Experience in software verification & validation
Strong analytical skills with proficiency in theory and application of computational science principles
Demonstrated experience in applied mathematics, statistics, machine learning, artificial intelligence, or data science
Experience writing proposals
Company
Idaho National Laboratory
Idaho National Laboratory USDOE is a research laboratory focused on the development, demonstration, and deployment of nuclear energy.
H1B Sponsorship
Idaho National Laboratory has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (68)
2024 (47)
2023 (48)
2022 (56)
2021 (39)
2020 (26)
Funding
Current Stage
Late StageTotal Funding
$7.5MKey Investors
US Department of EnergyU.S. Department of Homeland Security
2024-07-02Grant· $7.5M
2023-01-17Grant
Leadership Team
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2026-02-05
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