Multiscale Computational Materials Scientist

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

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Computational Materials Scientist to develop and apply atomistic and multiscale computational methods for metals and ceramics. You will model atomic-scale structure, defects, and phase evolution to predict material properties and support aerospace, sensing, and energy-storage applications.

Join a multidisciplinary team to accelerate materials discovery through high-throughput simulations, data-driven analyses, and

Qualifications

• PhD in a relevant field with demonstrated application to answer complex questions.
• 3+ years of physics-based simulations of fundamental properties in inorganic solid materials.
• Proficiency in MATLAB, C/C++, Python, FORTRAN and related algorithms.
• Ability to work independently and in multidisciplinary teams; manage multiple projects.
• Willingness to travel occasionally and ability to obtain a Secret security clearance.

Responsibilities

• Develop and apply atomistic and multiscale models to metals and ceramics.
• Use modeling methods including molecular dynamics, electronic structure, and reaction pathway modeling.
• Design scalable workflows for high-throughput simulation and data-driven analysis.
• Quantify uncertainty and validate predictions against experimental data.
• Collaborate with analysts, scientists, and engineers to guide materials discovery.
• Craft reports and presentations for team members and government partners.

Skills

MATLAB

C/C++

Python

FORTRAN

Team collaboration

Education

PhD in Materials Science / Chemistry / Mechanical Engineering / Chemical Engineering / Physics / Applied Mathematics

Tools

Molecular dynamics

Electronic structure

Kinetic modeling

Coarse graining

Enhanced sampling

Machine learning models

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Computational Materials Scientist to develop and apply atomistic and multiscale computational methods for metals and ceramics. You will model atomic-scale structure, defects, and phase evolution to predict material properties and support aerospace, sensing, and energy-storage applications.

Join a multidisciplinary team to accelerate materials discovery through high-throughput simulations, data-driven analyses, and