Oak Ridge National Laboratory · 1 hour ago
Computational Scientist, Large-scale Simulations and Machine Learning
Oak Ridge National Laboratory is seeking a Computational Scientist for the Multiscale Materials group in the Computational Science and Engineering Division. The role involves contributing to the development and application of advanced manufacturing simulations and machine learning models relevant to various manufacturing and material characterization processes.
Advanced MaterialsClean EnergyEnergyEnergy ManagementManufacturingNuclearRenewable Energy
Responsibilities
Collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions
Participate in the development of multi-physics simulations with machine learning algorithms for modeling and optimizing of metallic materials and advanced manufacturing processes
Participate in the design of integrated, scalable numerical methods and uncertainty quantification, and follow team planning, documentation, verification and validation, and manufacturing-material-related simulation quality processes
Author peer reviewed papers, technical papers, reports and proposals for internal and external release as well as represent the organization by giving technical presentations in large public forums
Qualification
Required
A PhD degree in mechanical engineering, material science, or a relevant engineering field with emphasis on computational and material science. 2 years of applicable experience outside of Ph.D
Expertise in the development and application of multi-physics simulations and machine learning tools in one or more areas such as melt pool fluid dynamics, distortion and residual stress prediction, microstructure quantification, topology optimization, and surrogate and reduced-order models
Experience working in a multi-disciplinary research environment
Proven publication track record
Effective interpersonal skills, written and oral communication skills, and strong motivation
Preferred
Demonstrated experience in the design and implementation of numerical simulations and machine learning algorithms in one or more areas within advanced manufacturing processes
Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages, preferably within a team that follows software quality standards
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Benefits
Medical and retirement plans
Flexible work hours
On-site fitness
Banking
Cafeteria facilities
Prescription Drug Plan
Dental Plan
Vision Plan
401(k) Retirement Plan
Contributory Pension Plan
Life Insurance
Disability Benefits
Generous Vacation and Holidays
Parental Leave
Legal Insurance with Identity Theft Protection
Employee Assistance Plan
Flexible Spending Accounts
Health Savings Accounts
Wellness Programs
Educational Assistance
Relocation Assistance
Employee Discounts
Company
Oak Ridge National Laboratory
Oak Ridge National Laboratory holds a range of R&D assignments, from fundamental nuclear physics to applied R&D on advanced energy systems.
H1B Sponsorship
Oak Ridge 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 (268)
2024 (276)
2023 (223)
2022 (228)
2021 (192)
2020 (152)
Funding
Current Stage
Late StageTotal Funding
$9.8MKey Investors
US Department of Energy
2023-09-21Grant· $4.8M
2023-07-27Grant
2022-03-14Grant· $5M
Leadership Team
Recent News
2026-01-11
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