Computational Materials Scientist jobs in United States
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Energy Job Search · 22 hours ago

Computational Materials Scientist

ExxonMobil is one of the world's largest publicly traded energy and chemical companies, focused on leading energy innovations for a net-zero future. The Computational Materials Scientist role involves designing material structures, predicting properties, and applying advanced modeling techniques to accelerate materials discovery and development, particularly in polymers and complex materials.

Staffing & Recruiting

Responsibilities

Apply advanced modeling to accelerate materials discovery and development and enable in-silico materials design
Investigate physical processes and mechanisms across multiple length and time scales
Collaborate closely with experimentalists and other modeling experts to validate and improve models
Develop and deploy computational models that address business needs and enhance research workflows

Qualification

Computational Materials ScienceMaterials ModelingAtomistic SimulationsMultiscale ModelingProgramming PythonProgramming C++Machine LearningHigh-Performance ComputingCommunicationCollaboration Skills

Required

Ph.D. in Materials Science and Engineering, Chemical Engineering, Chemistry, Physics, Computational Science, or related fields
Minimum 3 years of research experience in materials modeling (including Ph.D. research)
Proven experience in modeling and simulating behavior of complex materials such as semicrystalline polymers, hydrocarbons, soft matter, complex fluids, and composites
Proficiency in atomistic simulations, Density Functional Theory, molecular dynamics, Monte Carlo, coarse-grained methods, and/or finite element analysis
Expertise in multiscale and multi-physics modeling, including techniques from ab-initio to continuum methods across a broad range of time and length scales
Experience with hybrid modeling and integrating physics-based and data-driven methods (e.g., machine learning)
Experience with forcefield development and MLIPs (Machine Learning Interatomic Potentials)
Experience with both CPU and GPU high-performance computing
Strong programming skills (Python, C++, scripting for automation)
Excellent communication and collaboration skills across multidisciplinary teams

Preferred

Polymer physics, soft matter physics, fluid mechanics
Thermodynamics, statistical mechanics, interface science, and kinetic modeling
Machine learning, statistical modeling, materials informatics
Experience in energy and sustainability-related materials

Company

Energy Job Search

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Funding

Current Stage
Growth Stage
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