Multiscale Computational Materials Scientist

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 290,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory is seeking a Computational Materials Scientist to develop atomistic and multiscale models for metals and ceramics. You will work on defect structures, phase evolution, and properties relevant to aerospace, sensing, and energy storage, collaborating with a multidisciplinary team to translate modeling to real-world applications.

The role requires a Ph.D. in a materials-related field, strong programming in multiple languages, and experience with multiscale

Qualifications

• Ph.D. in a relevant field with demonstrated application to answer complex questions.
• 3+ years of experience in physics-based simulations of inorganic solid materials (electronic structure, MD, etc.).
• Scientific/engineering programming in multiple languages (MATLAB, C/C++, Python, FORTRAN) and algorithms used in computational science.

Responsibilities

• Develop and use models of metals and ceramics to relate structure to function across scales.
• Leverage modeling methods including MD, electronic structure, reaction pathway and kinetic modeling, coarse graining, and ML models.
• Design scalable computational workflows for materials discovery and optimization via high-throughput simulation and data-driven analysis.
• Quantify uncertainty, validate predictions with experimental data, assess model applicability.
• Collaborate with analysts, scientists, and engineers to guide materials discovery.

Education

Ph.D. in Materials Science, Chemistry, Mechanical Engineering, Chemical Engineering, Physics, Applied Mathematics, or equivalent

Tools

MATLAB

C/C++

Python

FORTRAN

Job description

Johns Hopkins Applied Physics Laboratory is seeking a Computational Materials Scientist to develop atomistic and multiscale models for metals and ceramics. You will work on defect structures, phase evolution, and properties relevant to aerospace, sensing, and energy storage, collaborating with a multidisciplinary team to translate modeling to real-world applications.

The role requires a Ph.D. in a materials-related field, strong programming in multiple languages, and experience with multiscale