Computational Polymer Scientist: GPU-Accelerated MD

VideoRay; Town of Patterson (NY); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401K with company matching

9/80 work schedule

Paid holidays

Job summary

AeroVironment, Inc. seeks a highly skilled Computational Polymer Scientist/Research Scientist to join a multidisciplinary team supporting AFRL. You will perform theoretical and computational research on covalent adaptable polymer networks and translate molecular design into macroscopic predictions.

Key duties include MD simulations, Python-based software for rheology predictions, collaboration with experimentalists, and publishing results in peer‑reviewed journals. This role requires U.S.

Qualifications

• PhD in a closely related field.
• Theoretical background in polymer physics and polymer networks.
• Experience with MD simulations.
• Programming in Python for code development.
• U.S. Citizenship and ability to obtain required clearances.
• Excellent cross-disciplinary collaboration skills.

Responsibilities

• Conduct independent research on structural dynamics, viscoelasticity, and rheology of dynamic covalent networks.
• Develop and implement Python-based software for GPU-accelerated rheology predictions.
• Utilize MD simulations and polymer theory to model network behavior.
• Coordinate with experimentalists and academic partners to translate design to predictions.
• Present findings to stakeholders and publish in peer-reviewed journals.

Skills

Molecular dynamics

Python programming

Polymer physics

Covalent adaptable networks

Education

PhD in Physics, Chemistry, Materials Science, Chemical Engineering, or Polymer Science

Tools

LAMMPS

GROMACS

HOOMD-blue

ESPResSo

Job description

AeroVironment, Inc. seeks a highly skilled Computational Polymer Scientist/Research Scientist to join a multidisciplinary team supporting AFRL. You will perform theoretical and computational research on covalent adaptable polymer networks and translate molecular design into macroscopic predictions.

Key duties include MD simulations, Python-based software for rheology predictions, collaboration with experimentalists, and publishing results in peer‑reviewed journals. This role requires U.S.