Computational Scientist

You'll be at the forefront of shaping next-generation tools that drive breakthroughs in nuclear energy, infrastructure resilience, and cutting-edge scientific research. Your work will harness the latest computational techniques to solve some of the nation's most critical challenges in nuclear technology and beyond. From advancing materials science to enhancing energy systems, your expertise will enable INL to deliver innovative solutions that power the future.

Join a team driven by legacy and purpose, where your code becomes a cornerstone of scientific discovery.

• 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.

• 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.

• Level 2:
  Bachelor of Science degree in nuclear science, materials science, computational engineering, computational applied mechanics, computer…