Computational Polymer Scientist

About the role

AeroVironment, Inc. is seeking a highly skilled and self-motivated Computational Polymer Scientist/Research Scientist to join a collaborative, multidisciplinary team supporting the Air Force Research Laboratory (AFRL). In this role, you will perform theoretical and computational research on the dynamics and rheology of covalent adaptable polymer networks tailored for critical Department of War (DoW) applications. You will work at the interface of chemistry, physics, and computer science, collaborating closely with leading experimentalists and academic partners to translate molecular-level design into macroscopic material predictions.

Responsibilities

• Conduct independent research investigating the structural dynamics, viscoelasticity, and rheological properties of dynamic, covalent adaptable networks.
• Develop and implement custom Python-based software and algorithms for GPU-accelerated rheology predictions.
• Utilize advanced molecular dynamics (MD) simulations and theoretical polymer physics frameworks to model network behavior.
• Act as the primary computational liaison, coordinating closely with experimental chemists, materials scientists, and academic collaborators.
• Drive project milestones, present findings to stakeholders, and draft high-quality technical reports and peer-reviewed publications.

Required Qualifications

• Doctorate (PhD) in Physics, Chemistry, Materials Science, Chemical Engineering, Polymer Science, or a closely related field.
• Theoretical background in polymer physics and polymer networks.
• Hands-on experience executing and analyzing molecular dynamics (MD) simulations.
• Strong programming proficiency in Python for code development.
• Demonstrated PhD-level critical problem-solving skills and a proven track record of research via publications.
• Excellent communication skills for active cross-disciplinary collaboration.

Preferred Qualifications

• Experience with GPU-accelerated computing frameworks (e.g., CUDA, CuPy, or GPU-enabled LAMMPS).
• Familiarity with standard molecular dynamics packages (e.g., LAMMPS, GROMACS, HOOMD-blue, ESPResSo).
• Prior experience modeling dynamic/reversible covalent chemistries (such as vitrimers or self-healing polymers).

ITAR Requirement

This position requires access to information subject to compliance with the International Traffic in Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). Applicants will be asked to provide documentation to verify U.S. person status under the ITAR and the EAR. A “U.S. person” is defined as a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee.

Benefits

• Compressed workweek (9/80 schedule).
• Medical, dental, and vision coverage.
• 401K with company matching.
• Paid holiday shutdown.